# CIND 820: Anlalyzing APS data set
# preparing 2018 APS data as the training set
# calling libraries
library(tidyverse)
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library(mgsub)
library(corrgram)
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library(corrplot)
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library(likert)
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library(party)
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# reading 2018 aps data set
aps <- read.csv("/Users/ibrahimibrahim/Documents/Ryerson/820/data set/2018-aps-employee-census-dataset.csv",stringsAsFactors = TRUE, na.strings = " ")
# when I first examined the dataset, I found out there were no NAs and all unaswered questions
# were categorized as " ", so I modified the read.csv file to regard " " as NA using na.strings=" "
# all variables are factors so I chose stringAsFators=True
# overview
#head(aps)
#tail(aps)
#str(aps)
#summary(aps)
# renaming variables and creating a new data frame with reduced number of variables
# reading new column names from a csv file
column_names_1 <- read.csv("/Users/ibrahimibrahim/Documents/Ryerson/820/data set/column_names_2018.csv",stringsAsFactors = FALSE, header = TRUE)
aps_new_column_names <- aps
names(aps_new_column_names)[1:301] <- c(column_names_1$new.column.name)
aps_reduced <- select(aps_new_column_names, -contains("disregarded"))
# On page 1 of instructions on how to complete the census, employees were told:
# 1- You are then free to skip and not answer any other questions that you may not want to answer.
# 2- If you cannot answer a question, please feel free to leave it blank.
# a few questions also had the option of answering with "I do not know" which could be
# one of the motivations for skipping a question - so "I do not know" answers cannot be
# treated as unique vs. skipped questions (these answers are likely a subset of skipped questions)
# therefore after initial exploration, "I do not know" answers will be treated the same
# way as skipped questions
# Skippig questions was allowed in survey, so will check for missing values
sum(is.na(aps_reduced))
## [1] 362167
aps_reduced$number_skipped_questions <- rowSums(is.na(aps_reduced))
table(aps_reduced$number_skipped_questions)
##
## 0 1 2 3 4 5 6 7 8 9 10 11 12
## 80389 10372 1852 651 353 535 221 386 188 107 131 109 258
## 13 14 15 16 17 18 19 20 21 22 23 24 25
## 250 108 85 78 97 1128 432 137 69 54 290 108 78
## 26 27 28 29 30 31 32 33 34 35 36 37 38
## 44 36 44 48 268 102 198 23 30 24 53 72 372
## 39 40 41 42 43 44 45 46 47 48 49 50 51
## 62 25 22 39 23 26 31 13 14 197 40 30 19
## 52 53 54 55 56 57 58 59 60 61 62 63 64
## 15 26 26 413 62 27 7 17 241 33 19 11 8
## 65 66 67 68 69 70 71 72 73 74 75 76 77
## 9 19 354 38 14 11 8 10 8 20 9 10 14
## 78 79 80 81 82 83 84 85 86 87 88 89 90
## 318 11 7 7 211 10 3 3 7 8 12 9 16
## 91 92
## 25 740
number_skipped_questions_above_0 <- aps_reduced$number_skipped_questions[aps_reduced$number_skipped_questions>0]
table(number_skipped_questions_above_0)
## number_skipped_questions_above_0
## 1 2 3 4 5 6 7 8 9 10 11 12 13
## 10372 1852 651 353 535 221 386 188 107 131 109 258 250
## 14 15 16 17 18 19 20 21 22 23 24 25 26
## 108 85 78 97 1128 432 137 69 54 290 108 78 44
## 27 28 29 30 31 32 33 34 35 36 37 38 39
## 36 44 48 268 102 198 23 30 24 53 72 372 62
## 40 41 42 43 44 45 46 47 48 49 50 51 52
## 25 22 39 23 26 31 13 14 197 40 30 19 15
## 53 54 55 56 57 58 59 60 61 62 63 64 65
## 26 26 413 62 27 7 17 241 33 19 11 8 9
## 66 67 68 69 70 71 72 73 74 75 76 77 78
## 19 354 38 14 11 8 10 8 20 9 10 14 318
## 79 80 81 82 83 84 85 86 87 88 89 90 91
## 11 7 7 211 10 3 3 7 8 12 9 16 25
## 92
## 740
sum(table(number_skipped_questions_above_0)) # a total of 22,748 respondents who skipped questions
## [1] 22748
prop.table(table(number_skipped_questions_above_0))*100
## number_skipped_questions_above_0
## 1 2 3 4 5 6
## 45.59521716 8.14137507 2.86179005 1.55178477 2.35185511 0.97151398
## 7 8 9 10 11 12
## 1.69685247 0.82644628 0.47037102 0.57587480 0.47916300 1.13416564
## 13 14 15 16 17 18
## 1.09899771 0.47476701 0.37365922 0.34288729 0.42641111 4.95867769
## 19 20 21 22 23 24
## 1.89906805 0.60225075 0.30332337 0.23738351 1.27483735 0.47476701
## 25 26 27 28 29 30
## 0.34288729 0.19342360 0.15825567 0.19342360 0.21100756 1.17812555
## 31 32 33 34 35 36
## 0.44839107 0.87040619 0.10110779 0.13187973 0.10550378 0.23298752
## 37 38 39 40 41 42
## 0.31651134 1.63530860 0.27255143 0.10989977 0.09671180 0.17144364
## 43 44 45 46 47 48
## 0.10110779 0.11429576 0.13627572 0.05714788 0.06154387 0.86601020
## 49 50 51 52 53 54
## 0.17583963 0.13187973 0.08352383 0.06593986 0.11429576 0.11429576
## 55 56 57 58 59 60
## 1.81554422 0.27255143 0.11869175 0.03077194 0.07473184 1.05943380
## 61 62 63 64 65 66
## 0.14506770 0.08352383 0.04835590 0.03516793 0.03956392 0.08352383
## 67 68 69 70 71 72
## 1.55618076 0.16704765 0.06154387 0.04835590 0.03516793 0.04395991
## 73 74 75 76 77 78
## 0.03516793 0.08791982 0.03956392 0.04395991 0.06154387 1.39792509
## 79 80 81 82 83 84
## 0.04835590 0.03077194 0.03077194 0.92755407 0.04395991 0.01318797
## 85 86 87 88 89 90
## 0.01318797 0.03077194 0.03516793 0.05275189 0.03956392 0.07033585
## 91 92
## 0.10989977 3.25303323
barplot(prop.table(table(number_skipped_questions_above_0))*100, main = "Frequency of questions skipped by participants", xlab = "number of questions skipped", ylab = "% of total participants")
# Univariate analysis
# Examining the first 2 (and only demographic) variables : org_size and employee_level
# first variable org_size
# check for unique values, re-order factor levels and rename factor levels
unique(aps_reduced$org_size)
## [1] Small (Less than 250 employees) Large (1,001 or more employees)
## [3] Medium (251 to 1,000 employees)
## 3 Levels: Large (1,001 or more employees) ... Small (Less than 250 employees)
levels(aps_reduced$org_size)
## [1] "Large (1,001 or more employees)" "Medium (251 to 1,000 employees)"
## [3] "Small (Less than 250 employees)"
aps_reduced$org_size <- fct_relevel(aps_reduced$org_size, c("Small (Less than 250 employees)", "Medium (251 to 1,000 employees)", "Large (1,001 or more employees)"))
levels(aps_reduced$org_size)
## [1] "Small (Less than 250 employees)" "Medium (251 to 1,000 employees)"
## [3] "Large (1,001 or more employees)"
levels(aps_reduced$org_size) <- list("1" = "Small (Less than 250 employees)", "2" = "Medium (251 to 1,000 employees)", "3" = "Large (1,001 or more employees)")
levels(aps_reduced$org_size)
## [1] "1" "2" "3"
# frequency table and check for unclassified
org_size_table <- table(aps_reduced$org_size, useNA = "always")
org_size_table
##
## 1 2 3 <NA>
## 3840 9748 89549 0
prop.table(org_size_table)*100
##
## 1 2 3 <NA>
## 3.723203 9.451506 86.825291 0.000000
# visualization
ggplot(aps_reduced, aes(x = org_size, fill=org_size)) +
geom_bar(show.legend = FALSE) +
labs(title = "Number of census participants by size of organization",
subtitle = "Small(Less than 250 employees)=1, Medium(251 to 1,000 employees)=2, Large(1,001 or more employees)=3",
x = "") +
theme_bw() +
geom_text(stat='count', aes(label=..count..), vjust=-1)
# second variable employee_level
# check for unique values, re-order factor levels and rename factor levels
unique(aps_reduced$employee_level)
## [1] Trainee/Graduate/APS EL SES
## [4] <NA>
## Levels: EL SES Trainee/Graduate/APS
levels(aps_reduced$employee_level)
## [1] "EL" "SES" "Trainee/Graduate/APS"
aps_reduced$employee_level <- fct_relevel(aps_reduced$employee_level, c("Trainee/Graduate/APS", "EL", "SES"))
levels(aps_reduced$employee_level)
## [1] "Trainee/Graduate/APS" "EL" "SES"
levels(aps_reduced$employee_level) <- list("1" = "SES", "2" = "EL", "3" = "Trainee/Graduate/APS")
levels(aps_reduced$employee_level)
## [1] "1" "2" "3"
# frequency table and check for unclassified
employee_level_table <- table(aps_reduced$employee_level)
employee_level_table
##
## 1 2 3
## 2481 29937 70555
prop.table(employee_level_table)*100
##
## 1 2 3
## 2.409369 29.072670 68.517961
# visualization
ggplot(aps_reduced, aes(x = employee_level, fill=employee_level)) +
geom_bar(show.legend = FALSE) +
labs(title = "Employees classification level count",
subtitle = "Senior executive=1, executive=2, non executive=3, skipped questions=NA",
x = "") +
theme_bw() +
geom_text(stat='count', aes(label=..count..), vjust=-1)
# examining variables that will be combined to form the main scales that will be studied
# reformat_variable_group1:
# a function to change a variable to factor, re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# job_engagement, team_engagement, supervisor_engagement, senior_manager_engagement,
# agency_engagement, wellbeing (Q9 to Q13), team_performance_support, risk_culture,
# innovation
reformat_variable_group1 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("Strongly disagree", "Disagree", "Neither agree nor disagree", "Agree", "Strongly agree"))
levels(variable_to_be_used) <- list("1" = "Strongly disagree", "2" = "Disagree", "3" = "Neither agree nor disagree", "4" = "Agree", "5" = "Strongly agree")
return(variable_to_be_used)
}
#end reformat_variable_group1
# reformat_variable_group2:
# a function to re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# leadership_engagement
unique(aps_reduced$leadership_engagement_1)
## [1] Agree Neither agree nor disagree
## [3] Disagree Strongly disagree
## [5] Strongly agree Do not know
## [7] <NA>
## 6 Levels: Agree Disagree Do not know ... Strongly disagree
reformat_variable_group2 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("Strongly disagree", "Disagree", "Neither agree nor disagree", "Agree", "Strongly agree", "Do not know"))
levels(variable_to_be_used) <- list("1" = "Strongly disagree", "2" = "Disagree", "3" = "Neither agree nor disagree", "4" = "Agree", "5" = "Strongly agree", "Do not know" = "Do not know")
return(variable_to_be_used)
}
#end reformat_variable_group2
# reformat_variable_group3:
# a function to re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# wellbeing_1
unique(aps_reduced$wellbeing_1)
## [1] Satisfied Very satisfied
## [3] Neither satisfied or dissatisfied Dissatisfied
## [5] <NA> Very dissatisfied
## 5 Levels: Dissatisfied Neither satisfied or dissatisfied ... Very satisfied
reformat_variable_group3 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("Very dissatisfied", "Dissatisfied", "Neither satisfied or dissatisfied", "Satisfied", "Very satisfied"))
levels(variable_to_be_used) <- list("1" = "Very dissatisfied", "2" = "Dissatisfied", "3" = "Neither satisfied or dissatisfied", "4" = "Satisfied", "5" = "Very satisfied")
return(variable_to_be_used)
}
#end reformat_variable_group3
# reformat_variable_group4:
# a function to re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# wellbeing_2 and wellbeing_6
unique(aps_reduced$wellbeing_2)
## [1] Rarely Sometimes Often Always Never <NA>
## Levels: Always Never Often Rarely Sometimes
unique(aps_reduced$wellbeing_6)
## [1] Rarely Sometimes Often Never Always <NA>
## Levels: Always Never Often Rarely Sometimes
reformat_variable_group4 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("Always", "Often", "Sometimes", "Rarely", "Never"))
levels(variable_to_be_used) <- list("1" = "Always", "2" = "Often", "3" = "Sometimes", "4" = "Rarely", "5" = "Never")
return(variable_to_be_used)
}
#end reformat_variable_group4
# reformat_variable_group5:
# a function to re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# wellbeing_3, wellbeing_4, wellbeing_=5, wellbeing_7, wellbeing_8
unique(aps_reduced$wellbeing_3)
## [1] Often Always Sometimes Never Rarely <NA>
## Levels: Always Never Often Rarely Sometimes
reformat_variable_group5 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("Always", "Often", "Sometimes", "Rarely", "Never"))
levels(variable_to_be_used) <- list("1" = "Never", "2" = "Rarely", "3" = "Sometimes", "4" = "Often", "5" = "Always")
return(variable_to_be_used)
}
#end reformat_variable_group5
# reformat_variable_group7:
# a function to re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# values
unique(aps_reduced$values_1)
## [1] Always Not sure Often <NA> Sometimes Rarely Never
## Levels: Always Never Not sure Often Rarely Sometimes
reformat_variable_group7 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("Never", "Rarely", "Sometimes", "Often", "Always", "Not sure"))
levels(variable_to_be_used) <- list("1" = "Never", "2" = "Rarely", "3" = "Sometimes", "4" = "Often", "5" = "Always", "Not sure" = "Not sure")
return(variable_to_be_used)
}
#end reformat_variable_group7
# reformat_variable_group8:
# a function to re-order factor levels, rename factor levels:
# this function will be applied to the following variables:
# team_performance_rating
unique(aps_reduced$team_performance_rating)
## [1] 8 9 6 7 Don't know <NA>
## [7] 2 3 5 10 4 1
## Levels: 1 10 2 3 4 5 6 7 8 9 Don't know
unique(aps_reduced$agency_performance_rating)
## NULL
reformat_variable_group8 <- function(variable_to_be_used){
# re-order factor levels and rename factor levels
variable_to_be_used <- fct_relevel(variable_to_be_used, c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "Don't know"))
levels(variable_to_be_used) <- list("1" = "1", "2" = "2", "3" = "3", "4" = "4", "5" = "5", "6" = "6", "7" = "7", "8" = "8", "9" = "9", "10" = "10", "Don't know" = "Don't know")
return(variable_to_be_used)
}
#end reformat_variable_group8
# function to generate a barplot for each variable - except dependent variable
generate_barplot <- function(variable_to_be_used){
name_to_display <- deparse(substitute(variable_to_be_used))
barplot_1 <- ggplot(aps_reduced, aes(x = variable_to_be_used, fill=variable_to_be_used)) +
geom_bar(show.legend = FALSE) +
labs(title = name_to_display,
subtitle = "(Strongly disagree=1, Disagree=2, Neither agree nor disagree=3, Agree=2, Strongly agree=1, Skipped question=NA)",
x = "") +
theme_bw() +
geom_text(stat='count', aes(label=..count..), vjust=-1)
return(barplot_1)
}
# function to generate a barplot for dependent variable
generate_barplot_dep_var <- function(variable_to_be_used){
name_to_display <- deparse(substitute(variable_to_be_used))
barplot_1 <- ggplot(aps_reduced, aes(x = variable_to_be_used, fill=variable_to_be_used)) +
geom_bar(show.legend = FALSE) +
labs(title = name_to_display,
subtitle = "(1=workgroup’s worst performance, 5=average workgroup performance, 10=the best your workgroup has ever worked, NA=Skipped question)",
x = "") +
theme_bw() +
geom_text(stat='count', aes(label=..count..), vjust=-1)
return(barplot_1)
}
# job_engagement reformatting
aps_reduced$job_engagement_1 <- reformat_variable_group1(aps_reduced$job_engagement_1)
generate_barplot(aps_reduced$job_engagement_1)
aps_reduced$job_engagement_2 <- reformat_variable_group1(aps_reduced$job_engagement_2)
generate_barplot(aps_reduced$job_engagement_2)
# code to check that outputs of function reformat_variable_group1 are correct compared to outputs
# I got earlier on job_engagement_1 and job_engagement_2 not using the function
str(aps_reduced$job_engagement_1)
## Factor w/ 5 levels "1","2","3","4",..: 2 5 4 4 5 4 2 4 5 4 ...
levels(aps_reduced$job_engagement_1)
## [1] "1" "2" "3" "4" "5"
summary(aps_reduced$job_engagement_1)
## 1 2 3 4 5 NA's
## 2221 7677 10939 60553 20805 942
sum(is.na(aps_reduced$job_engagement_1))
## [1] 942
str(aps_reduced$job_engagement_2)
## Factor w/ 5 levels "1","2","3","4",..: 2 4 5 4 4 3 2 4 5 4 ...
levels(aps_reduced$job_engagement_2)
## [1] "1" "2" "3" "4" "5"
summary(aps_reduced$job_engagement_2)
## 1 2 3 4 5 NA's
## 3564 10283 15927 54321 17971 1071
sum(is.na(aps_reduced$job_engagement_2))
## [1] 1071
aps_reduced$job_engagement_3 <- reformat_variable_group1(aps_reduced$job_engagement_3)
generate_barplot(aps_reduced$job_engagement_3)
aps_reduced$job_engagement_4 <- reformat_variable_group1(aps_reduced$job_engagement_4)
generate_barplot(aps_reduced$job_engagement_4)
aps_reduced$job_engagement_5 <- reformat_variable_group1(aps_reduced$job_engagement_5)
generate_barplot(aps_reduced$job_engagement_5)
aps_reduced$job_engagement_6 <- reformat_variable_group1(aps_reduced$job_engagement_6)
generate_barplot(aps_reduced$job_engagement_6)
aps_reduced$job_engagement_7 <- reformat_variable_group1(aps_reduced$job_engagement_7)
generate_barplot(aps_reduced$job_engagement_7)
aps_reduced$job_engagement_8 <- reformat_variable_group1(aps_reduced$job_engagement_8)
generate_barplot(aps_reduced$job_engagement_8)
aps_reduced$job_engagement_9 <- reformat_variable_group1(aps_reduced$job_engagement_9)
generate_barplot(aps_reduced$job_engagement_9)
aps_reduced$job_engagement_10 <- reformat_variable_group1(aps_reduced$job_engagement_10)
generate_barplot(aps_reduced$job_engagement_10)
# team_engagement reformatting
aps_reduced$team_engagement_1 <- reformat_variable_group1(aps_reduced$team_engagement_1)
generate_barplot(aps_reduced$team_engagement_1)
aps_reduced$team_engagement_2 <- reformat_variable_group1(aps_reduced$team_engagement_2)
generate_barplot(aps_reduced$team_engagement_2)
aps_reduced$team_engagement_3 <- reformat_variable_group1(aps_reduced$team_engagement_3)
generate_barplot(aps_reduced$team_engagement_3)
aps_reduced$team_engagement_4 <- reformat_variable_group1(aps_reduced$team_engagement_4)
generate_barplot(aps_reduced$team_engagement_4)
# supervisor_engagement reformatting
aps_reduced$supervisor_engagement_1 <- reformat_variable_group1(aps_reduced$supervisor_engagement_1)
generate_barplot(aps_reduced$supervisor_engagement_1)
aps_reduced$supervisor_engagement_2 <- reformat_variable_group1(aps_reduced$supervisor_engagement_2)
generate_barplot(aps_reduced$supervisor_engagement_2)
aps_reduced$supervisor_engagement_3 <- reformat_variable_group1(aps_reduced$supervisor_engagement_2)
## Warning: Unknown levels in `f`: Strongly disagree, Disagree, Neither agree nor
## disagree, Agree, Strongly agree
generate_barplot(aps_reduced$supervisor_engagement_2)
aps_reduced$supervisor_engagement_4 <- reformat_variable_group1(aps_reduced$supervisor_engagement_4)
generate_barplot(aps_reduced$supervisor_engagement_4)
aps_reduced$supervisor_engagement_5 <- reformat_variable_group1(aps_reduced$supervisor_engagement_5)
generate_barplot(aps_reduced$supervisor_engagement_5)
aps_reduced$supervisor_engagement_6 <- reformat_variable_group1(aps_reduced$supervisor_engagement_6)
generate_barplot(aps_reduced$supervisor_engagement_6)
aps_reduced$supervisor_engagement_7 <- reformat_variable_group1(aps_reduced$supervisor_engagement_7)
generate_barplot(aps_reduced$supervisor_engagement_7)
aps_reduced$supervisor_engagement_8 <- reformat_variable_group1(aps_reduced$supervisor_engagement_8)
generate_barplot(aps_reduced$supervisor_engagement_8)
aps_reduced$supervisor_engagement_9 <- reformat_variable_group1(aps_reduced$supervisor_engagement_9)
generate_barplot(aps_reduced$supervisor_engagement_9)
aps_reduced$supervisor_engagement_10 <- reformat_variable_group1(aps_reduced$supervisor_engagement_10)
generate_barplot(aps_reduced$supervisor_engagement_10)
aps_reduced$supervisor_engagement_11 <- reformat_variable_group1(aps_reduced$supervisor_engagement_11)
generate_barplot(aps_reduced$supervisor_engagement_11)
# senior_manager_engagement reformatting
aps_reduced$senior_manager_engagement_1 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_1)
generate_barplot(aps_reduced$senior_manager_engagement_1)
aps_reduced$senior_manager_engagement_2 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_2)
generate_barplot(aps_reduced$senior_manager_engagement_2)
aps_reduced$senior_manager_engagement_3 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_3)
generate_barplot(aps_reduced$senior_manager_engagement_3)
aps_reduced$senior_manager_engagement_4 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_4)
generate_barplot(aps_reduced$senior_manager_engagement_4)
aps_reduced$senior_manager_engagement_5 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_5)
generate_barplot(aps_reduced$senior_manager_engagement_5)
aps_reduced$senior_manager_engagement_6 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_6)
generate_barplot(aps_reduced$senior_manager_engagement_6)
aps_reduced$senior_manager_engagement_7 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_7)
generate_barplot(aps_reduced$senior_manager_engagement_7)
aps_reduced$senior_manager_engagement_8 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_8)
generate_barplot(aps_reduced$senior_manager_engagement_8)
aps_reduced$senior_manager_engagement_9 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_9)
generate_barplot(aps_reduced$senior_manager_engagement_9)
aps_reduced$senior_manager_engagement_10 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_10)
generate_barplot(aps_reduced$senior_manager_engagement_10)
aps_reduced$senior_manager_engagement_11 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_11)
generate_barplot(aps_reduced$senior_manager_engagement_11)
aps_reduced$senior_manager_engagement_12 <- reformat_variable_group1(aps_reduced$senior_manager_engagement_12)
generate_barplot(aps_reduced$senior_manager_engagement_12)
# agency_engagement reformatting
aps_reduced$agency_engagement_1 <- reformat_variable_group1(aps_reduced$agency_engagement_1)
generate_barplot(aps_reduced$agency_engagement_1)
aps_reduced$agency_engagement_2 <- reformat_variable_group1(aps_reduced$agency_engagement_2)
generate_barplot(aps_reduced$agency_engagement_2)
aps_reduced$agency_engagement_3 <- reformat_variable_group1(aps_reduced$agency_engagement_3)
generate_barplot(aps_reduced$agency_engagement_3)
aps_reduced$agency_engagement_4 <- reformat_variable_group1(aps_reduced$agency_engagement_4)
generate_barplot(aps_reduced$agency_engagement_4)
aps_reduced$agency_engagement_5 <- reformat_variable_group1(aps_reduced$agency_engagement_5)
generate_barplot(aps_reduced$agency_engagement_5)
aps_reduced$agency_engagement_6 <- reformat_variable_group1(aps_reduced$agency_engagement_6)
generate_barplot(aps_reduced$agency_engagement_6)
aps_reduced$agency_engagement_7 <- reformat_variable_group1(aps_reduced$agency_engagement_7)
generate_barplot(aps_reduced$agency_engagement_7)
aps_reduced$agency_engagement_8 <- reformat_variable_group1(aps_reduced$agency_engagement_8)
generate_barplot(aps_reduced$agency_engagement_8)
aps_reduced$agency_engagement_9 <- reformat_variable_group1(aps_reduced$agency_engagement_9)
generate_barplot(aps_reduced$agency_engagement_9)
aps_reduced$agency_engagement_10 <- reformat_variable_group1(aps_reduced$agency_engagement_10)
generate_barplot(aps_reduced$agency_engagement_10)
aps_reduced$agency_engagement_11 <- reformat_variable_group1(aps_reduced$agency_engagement_11)
generate_barplot(aps_reduced$agency_engagement_11)
aps_reduced$agency_engagement_12 <- reformat_variable_group1(aps_reduced$agency_engagement_12)
generate_barplot(aps_reduced$agency_engagement_12)
aps_reduced$agency_engagement_13 <- reformat_variable_group1(aps_reduced$agency_engagement_13)
generate_barplot(aps_reduced$agency_engagement_13)
aps_reduced$agency_engagement_14 <- reformat_variable_group1(aps_reduced$agency_engagement_14)
generate_barplot(aps_reduced$agency_engagement_14)
aps_reduced$agency_engagement_15 <- reformat_variable_group1(aps_reduced$agency_engagement_15)
generate_barplot(aps_reduced$agency_engagement_15)
aps_reduced$agency_engagement_16 <- reformat_variable_group1(aps_reduced$agency_engagement_16)
generate_barplot(aps_reduced$agency_engagement_16)
aps_reduced$agency_engagement_17 <- reformat_variable_group1(aps_reduced$agency_engagement_17)
generate_barplot(aps_reduced$agency_engagement_17)
# team_performance_support reformatting
aps_reduced$team_performance_support_1 <- reformat_variable_group1(aps_reduced$team_performance_support_1)
generate_barplot(aps_reduced$team_performance_support_1)
aps_reduced$team_performance_support_2 <- reformat_variable_group1(aps_reduced$team_performance_support_2)
generate_barplot(aps_reduced$team_performance_support_2)
aps_reduced$team_performance_support_3 <- reformat_variable_group1(aps_reduced$team_performance_support_3)
generate_barplot(aps_reduced$team_performance_support_3)
aps_reduced$team_performance_support_4 <- reformat_variable_group1(aps_reduced$team_performance_support_4)
generate_barplot(aps_reduced$team_performance_support_4)
# risk culture reformatting
aps_reduced$risk_culture_1 <- reformat_variable_group1(aps_reduced$risk_culture_1)
generate_barplot(aps_reduced$risk_culture_1)
aps_reduced$risk_culture_2 <- reformat_variable_group1(aps_reduced$risk_culture_2)
generate_barplot(aps_reduced$risk_culture_2)
aps_reduced$risk_culture_3 <- reformat_variable_group1(aps_reduced$risk_culture_3)
generate_barplot(aps_reduced$risk_culture_3)
aps_reduced$risk_culture_4 <- reformat_variable_group1(aps_reduced$risk_culture_4)
generate_barplot(aps_reduced$risk_culture_4)
aps_reduced$risk_culture_5 <- reformat_variable_group1(aps_reduced$risk_culture_5)
generate_barplot(aps_reduced$risk_culture_5)
# reformatting innovation
aps_reduced$innovation_1 <- reformat_variable_group1(aps_reduced$innovation_1)
generate_barplot(aps_reduced$innovation_1)
aps_reduced$innovation_2 <- reformat_variable_group1(aps_reduced$innovation_2)
generate_barplot(aps_reduced$innovation_2)
aps_reduced$innovation_3 <- reformat_variable_group1(aps_reduced$innovation_3)
generate_barplot(aps_reduced$innovation_3)
aps_reduced$innovation_4 <- reformat_variable_group1(aps_reduced$innovation_4)
generate_barplot(aps_reduced$innovation_4)
aps_reduced$innovation_5 <- reformat_variable_group1(aps_reduced$innovation_5)
generate_barplot(aps_reduced$innovation_5)
# leadership engagement reformatting - group2
aps_reduced$leadership_engagement_1 <- reformat_variable_group2(aps_reduced$leadership_engagement_1)
generate_barplot(aps_reduced$leadership_engagement_1)
# checking that function for reformartting variable worked
str(aps_reduced$leadership_engagement_1)
## Factor w/ 6 levels "1","2","3","4",..: 4 3 4 3 4 4 4 4 4 2 ...
levels(aps_reduced$leadership_engagement_1)
## [1] "1" "2" "3" "4" "5"
## [6] "Do not know"
summary(aps_reduced$leadership_engagement_1)
## 1 2 3 4 5 Do not know
## 7191 14611 23717 40959 10008 2434
## NA's
## 4217
sum(is.na(aps_reduced$leadership_engagement_1))
## [1] 4217
aps_reduced$leadership_engagement_2 <- reformat_variable_group2(aps_reduced$leadership_engagement_2)
generate_barplot(aps_reduced$leadership_engagement_2)
aps_reduced$leadership_engagement_3 <- reformat_variable_group2(aps_reduced$leadership_engagement_3)
generate_barplot(aps_reduced$leadership_engagement_3)
aps_reduced$leadership_engagement_4 <- reformat_variable_group2(aps_reduced$leadership_engagement_4)
generate_barplot(aps_reduced$leadership_engagement_4)
aps_reduced$leadership_engagement_5 <- reformat_variable_group2(aps_reduced$leadership_engagement_5)
generate_barplot(aps_reduced$leadership_engagement_5)
aps_reduced$leadership_engagement_6 <- reformat_variable_group2(aps_reduced$leadership_engagement_6)
generate_barplot(aps_reduced$leadership_engagement_6)
aps_reduced$leadership_engagement_7 <- reformat_variable_group2(aps_reduced$leadership_engagement_7)
generate_barplot(aps_reduced$leadership_engagement_7)
# wellbeing_1 reformatting - group3
aps_reduced$wellbeing_1 <- reformat_variable_group3(aps_reduced$wellbeing_1)
generate_barplot(aps_reduced$wellbeing_1)
# checking that function for reformartting variable worked
str(aps_reduced$wellbeing_1)
## Factor w/ 5 levels "1","2","3","4",..: 4 5 5 4 4 5 4 3 5 2 ...
levels(aps_reduced$wellbeing_1)
## [1] "1" "2" "3" "4" "5"
summary(aps_reduced$wellbeing_1)
## 1 2 3 4 5 NA's
## 2760 9380 14034 51545 21730 3688
sum(is.na(aps_reduced$wellbeing_1))
## [1] 3688
# wellbeing_2 and wellbeing_6 reformatting - group4
aps_reduced$wellbeing_2 <- reformat_variable_group4(aps_reduced$wellbeing_2)
generate_barplot(aps_reduced$wellbeing_2)
aps_reduced$wellbeing_6 <- reformat_variable_group4(aps_reduced$wellbeing_6)
generate_barplot(aps_reduced$wellbeing_6)
# checking that function for reformartting variable worked
str(aps_reduced$wellbeing_2)
## Factor w/ 5 levels "1","2","3","4",..: 4 4 3 4 3 4 2 3 4 1 ...
levels(aps_reduced$wellbeing_2)
## [1] "1" "2" "3" "4" "5"
summary(aps_reduced$wellbeing_2)
## 1 2 3 4 5 NA's
## 6592 19640 42664 25999 3992 4250
sum(is.na(aps_reduced$wellbeing_2))
## [1] 4250
str(aps_reduced$wellbeing_6)
## Factor w/ 5 levels "1","2","3","4",..: 4 3 4 4 4 4 3 2 4 3 ...
levels(aps_reduced$wellbeing_6)
## [1] "1" "2" "3" "4" "5"
summary(aps_reduced$wellbeing_6)
## 1 2 3 4 5 NA's
## 3001 9229 34328 42409 9761 4409
sum(is.na(aps_reduced$wellbeing_6))
## [1] 4409
# wellbeing_3, wellbeing_4, wellbeing_=5, wellbeing_7, wellbeing_8 reformating - group5
aps_reduced$wellbeing_3 <- reformat_variable_group5(aps_reduced$wellbeing_3)
generate_barplot(aps_reduced$wellbeing_3)
str(aps_reduced$wellbeing_3)
## Factor w/ 5 levels "1","2","3","4",..: 4 4 5 5 4 5 3 1 4 4 ...
levels(aps_reduced$wellbeing_3)
## [1] "1" "2" "3" "4" "5"
summary(aps_reduced$wellbeing_3)
## 1 2 3 4 5 NA's
## 5178 11395 24327 44654 13314 4269
sum(is.na(aps_reduced$wellbeing_3))
## [1] 4269
aps_reduced$wellbeing_4 <- reformat_variable_group5(aps_reduced$wellbeing_4)
generate_barplot(aps_reduced$wellbeing_4)
aps_reduced$wellbeing_5 <- reformat_variable_group5(aps_reduced$wellbeing_5)
generate_barplot(aps_reduced$wellbeing_5)
aps_reduced$wellbeing_7 <- reformat_variable_group5(aps_reduced$wellbeing_7)
generate_barplot(aps_reduced$wellbeing_7)
aps_reduced$wellbeing_8 <- reformat_variable_group5(aps_reduced$wellbeing_8)
generate_barplot(aps_reduced$wellbeing_8)
# wellbeing_9, wellbeing_10, wellbeing_11, wellbeing_12, wellbeing_13 reformatting - group1
aps_reduced$wellbeing_9 <- reformat_variable_group1(aps_reduced$wellbeing_9)
generate_barplot(aps_reduced$wellbeing_9)
aps_reduced$wellbeing_10 <- reformat_variable_group1(aps_reduced$wellbeing_10)
generate_barplot(aps_reduced$wellbeing_10)
aps_reduced$wellbeing_11 <- reformat_variable_group1(aps_reduced$wellbeing_11)
generate_barplot(aps_reduced$wellbeing_11)
aps_reduced$wellbeing_12 <- reformat_variable_group1(aps_reduced$wellbeing_12)
generate_barplot(aps_reduced$wellbeing_12)
aps_reduced$wellbeing_13 <- reformat_variable_group1(aps_reduced$wellbeing_13)
generate_barplot(aps_reduced$wellbeing_13)
# values reformatting - group7
aps_reduced$values_1 <- reformat_variable_group7(aps_reduced$values_1)
generate_barplot(aps_reduced$values_1)
str(aps_reduced$values_1)
## Factor w/ 6 levels "1","2","3","4",..: 5 5 6 5 5 5 5 6 4 NA ...
levels(aps_reduced$values_1)
## [1] "1" "2" "3" "4" "5" "Not sure"
summary(aps_reduced$values_1)
## 1 2 3 4 5 Not sure NA's
## 226 1203 7484 40234 46159 1373 6458
sum(is.na(aps_reduced$values_1))
## [1] 6458
aps_reduced$values_2 <- reformat_variable_group7(aps_reduced$values_2)
generate_barplot(aps_reduced$values_2)
aps_reduced$values_3 <- reformat_variable_group7(aps_reduced$values_3)
generate_barplot(aps_reduced$values_3)
# team_performance_rating reformatting - dependent variable - group8
aps_reduced$team_performance_rating <- reformat_variable_group8(aps_reduced$team_performance_rating)
generate_barplot_dep_var(aps_reduced$team_performance_rating)
str(aps_reduced$team_performance_rating)
## Factor w/ 11 levels "1","2","3","4",..: 8 8 8 9 6 7 9 11 7 NA ...
levels(aps_reduced$team_performance_rating)
## [1] "1" "2" "3" "4" "5"
## [6] "6" "7" "8" "9" "10"
## [11] "Don't know"
summary(aps_reduced$team_performance_rating)
## 1 2 3 4 5 6 7
## 617 763 1780 2324 9614 7470 17875
## 8 9 10 Don't know NA's
## 29612 12697 5395 8487 6503
sum(is.na(aps_reduced$team_performance_rating))
## [1] 6503
# handling no response and I do not know / Not sure
# total number of skipped questions
sum(is.na(aps_reduced)) #362,030 skipped questions in 2018 vs. 355,416 in 2019
## [1] 362030
table(rowSums((is.na(aps_reduced))>0)>0) # 22,646 respondents in 2018 vs. 23,037 in 2019
##
## FALSE TRUE
## 80491 22646
# out of 129 variables, only the following have "I do not know" as an option for answers:
# leadership_engagement 1:7
length(which(aps_reduced=="Do not know")) #31,282 responses in 2018 vs.31,247 in 2019
## [1] 31282
table(rowSums(aps_reduced=="Do not know")>0) #8,092 respondents in 2018 vs.7,990 in 2019
##
## FALSE TRUE
## 72399 8092
# team_performance_rating
length(which(aps_reduced=="Don't know")) #8,487 responses in 2018 vs. 8,726 in 2019
## [1] 8487
table(rowSums(aps_reduced=="Don't know")>0) #6,572 respondents in 2018 vs.6,629 in 2019
##
## FALSE TRUE
## 73919 6572
# one variable had a "not sure" option": values 1:3
length(which(aps_reduced=="Not sure")) #17,277 responses in 2018 vs. 15,786 in 2019
## [1] 17277
table(rowSums(aps_reduced=="Not sure")>0) #11,764 respondents in 2018 vs. 15,786 in 2019
##
## FALSE TRUE
## 68727 11764
# Handling of skipped questions and non standard answer options
# a) removing all respondents with more than 13 skipped questions
# b) removing all respondents who answered the team performance question with either
# don't know or who skipped
# c) replacing all "Do not know" for leadership_engagement 1 to 7 with "3" of each variable
# d) replacing all re "not sure" for values 1 to 3 with "3" for each variable
# e) replacing all remaining skipped questions with "3" for each variable
# a) removing all respondents with more than 13 skipped questions
number_skipped_questions_above_0 <- aps_reduced$number_skipped_questions[aps_reduced$number_skipped_questions>0]
#data[data[, "Var"]<=13, ]
question_threshold <- 3
aps_reduced <- aps_reduced[aps_reduced[ , "number_skipped_questions"]<=question_threshold, ]
# b) removing all respondents who answered the team performance question with either
# Don't know or who skipped
aps_reduced <- aps_reduced[aps_reduced[ , "team_performance_rating"]!="Don't know", ]
aps_reduced <- aps_reduced[!is.na(aps_reduced$team_performance_rating) , ]
levels(aps_reduced$team_performance_rating)
## [1] "1" "2" "3" "4" "5"
## [6] "6" "7" "8" "9" "10"
## [11] "Don't know"
# c) replacing all "Do not know" for leadership_engagement 1 to 7 with "3"
replacement_for_Do_not_know <- "3"
aps_reduced$leadership_engagement_1 <- replace(aps_reduced$leadership_engagement_1, aps_reduced$leadership_engagement_1 == "Do not know", replacement_for_Do_not_know)
aps_reduced$leadership_engagement_2 <- replace(aps_reduced$leadership_engagement_2, aps_reduced$leadership_engagement_2 == "Do not know", replacement_for_Do_not_know)
aps_reduced$leadership_engagement_3 <- replace(aps_reduced$leadership_engagement_3, aps_reduced$leadership_engagement_3 == "Do not know", replacement_for_Do_not_know)
aps_reduced$leadership_engagement_4 <- replace(aps_reduced$leadership_engagement_4, aps_reduced$leadership_engagement_4 == "Do not know", replacement_for_Do_not_know)
aps_reduced$leadership_engagement_5 <- replace(aps_reduced$leadership_engagement_5, aps_reduced$leadership_engagement_5 == "Do not know", replacement_for_Do_not_know)
aps_reduced$leadership_engagement_6 <- replace(aps_reduced$leadership_engagement_6, aps_reduced$leadership_engagement_6 == "Do not know", replacement_for_Do_not_know)
aps_reduced$leadership_engagement_7 <- replace(aps_reduced$leadership_engagement_7, aps_reduced$leadership_engagement_7 == "Do not know", replacement_for_Do_not_know)
# d) replacing all re "Not sure" for values 1 to 3 with "3"
replacement_for_Not_sure <- "3"
aps_reduced$values_1 <- replace(aps_reduced$values_1, aps_reduced$values_1 == "Not sure", replacement_for_Not_sure)
aps_reduced$values_2 <- replace(aps_reduced$values_2, aps_reduced$values_2 == "Not sure", replacement_for_Not_sure)
aps_reduced$values_3 <- replace(aps_reduced$values_3, aps_reduced$values_3 == "Not sure", replacement_for_Not_sure)
# e) replacing all remaining skipped questions with "3"
replacement_for_NAs <- "3"
aps_reduced$org_size[which(is.na(aps_reduced$org_size))] = replacement_for_NAs
aps_reduced$employee_level[which(is.na(aps_reduced$employee_level))] = replacement_for_NAs
aps_reduced$job_engagement_1[which(is.na(aps_reduced$job_engagement_1))] = replacement_for_NAs
aps_reduced$job_engagement_2[which(is.na(aps_reduced$job_engagement_2))] = replacement_for_NAs
aps_reduced$job_engagement_3[which(is.na(aps_reduced$job_engagement_3))] = replacement_for_NAs
aps_reduced$job_engagement_4[which(is.na(aps_reduced$job_engagement_4))] = replacement_for_NAs
aps_reduced$job_engagement_5[which(is.na(aps_reduced$job_engagement_5))] = replacement_for_NAs
aps_reduced$job_engagement_6[which(is.na(aps_reduced$job_engagement_6))] = replacement_for_NAs
aps_reduced$job_engagement_7[which(is.na(aps_reduced$job_engagement_7))] = replacement_for_NAs
aps_reduced$job_engagement_8[which(is.na(aps_reduced$job_engagement_8))] = replacement_for_NAs
aps_reduced$job_engagement_9[which(is.na(aps_reduced$job_engagement_9))] = replacement_for_NAs
aps_reduced$job_engagement_10[which(is.na(aps_reduced$job_engagement_10))] = replacement_for_NAs
aps_reduced$team_engagement_1[which(is.na(aps_reduced$team_engagement_1))] = replacement_for_NAs
aps_reduced$team_engagement_2[which(is.na(aps_reduced$team_engagement_2))] = replacement_for_NAs
aps_reduced$team_engagement_3[which(is.na(aps_reduced$team_engagement_3))] = replacement_for_NAs
aps_reduced$team_engagement_4[which(is.na(aps_reduced$team_engagement_4))] = replacement_for_NAs
aps_reduced$supervisor_engagement_1[which(is.na(aps_reduced$supervisor_engagement_1))] = replacement_for_NAs
aps_reduced$supervisor_engagement_2[which(is.na(aps_reduced$supervisor_engagement_2))] = replacement_for_NAs
aps_reduced$supervisor_engagement_3[which(is.na(aps_reduced$supervisor_engagement_3))] = replacement_for_NAs
aps_reduced$supervisor_engagement_4[which(is.na(aps_reduced$supervisor_engagement_4))] = replacement_for_NAs
aps_reduced$supervisor_engagement_5[which(is.na(aps_reduced$supervisor_engagement_5))] = replacement_for_NAs
aps_reduced$supervisor_engagement_6[which(is.na(aps_reduced$supervisor_engagement_6))] = replacement_for_NAs
aps_reduced$supervisor_engagement_7[which(is.na(aps_reduced$supervisor_engagement_7))] = replacement_for_NAs
aps_reduced$supervisor_engagement_8[which(is.na(aps_reduced$supervisor_engagement_8))] = replacement_for_NAs
aps_reduced$supervisor_engagement_9[which(is.na(aps_reduced$supervisor_engagement_9))] = replacement_for_NAs
aps_reduced$supervisor_engagement_10[which(is.na(aps_reduced$supervisor_engagement_10))] = replacement_for_NAs
aps_reduced$supervisor_engagement_11[which(is.na(aps_reduced$supervisor_engagement_11))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_1[which(is.na(aps_reduced$senior_manager_engagement_1))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_2[which(is.na(aps_reduced$senior_manager_engagement_2))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_3[which(is.na(aps_reduced$senior_manager_engagement_3))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_4[which(is.na(aps_reduced$senior_manager_engagement_4))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_5[which(is.na(aps_reduced$senior_manager_engagement_5))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_6[which(is.na(aps_reduced$senior_manager_engagement_6))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_7[which(is.na(aps_reduced$senior_manager_engagement_7))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_8[which(is.na(aps_reduced$senior_manager_engagement_8))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_9[which(is.na(aps_reduced$senior_manager_engagement_9))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_10[which(is.na(aps_reduced$senior_manager_engagement_10))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_11[which(is.na(aps_reduced$senior_manager_engagement_11))] = replacement_for_NAs
aps_reduced$senior_manager_engagement_12[which(is.na(aps_reduced$senior_manager_engagement_12))] = replacement_for_NAs
aps_reduced$agency_engagement_1[which(is.na(aps_reduced$agency_engagement_1))] = replacement_for_NAs
aps_reduced$agency_engagement_2[which(is.na(aps_reduced$agency_engagement_2))] = replacement_for_NAs
aps_reduced$agency_engagement_3[which(is.na(aps_reduced$agency_engagement_3))] = replacement_for_NAs
aps_reduced$agency_engagement_4[which(is.na(aps_reduced$agency_engagement_4))] = replacement_for_NAs
aps_reduced$agency_engagement_5[which(is.na(aps_reduced$agency_engagement_5))] = replacement_for_NAs
aps_reduced$agency_engagement_6[which(is.na(aps_reduced$agency_engagement_6))] = replacement_for_NAs
aps_reduced$agency_engagement_7[which(is.na(aps_reduced$agency_engagement_7))] = replacement_for_NAs
aps_reduced$agency_engagement_8[which(is.na(aps_reduced$agency_engagement_8))] = replacement_for_NAs
aps_reduced$agency_engagement_9[which(is.na(aps_reduced$agency_engagement_9))] = replacement_for_NAs
aps_reduced$agency_engagement_10[which(is.na(aps_reduced$agency_engagement_10))] = replacement_for_NAs
aps_reduced$agency_engagement_11[which(is.na(aps_reduced$agency_engagement_11))] = replacement_for_NAs
aps_reduced$agency_engagement_12[which(is.na(aps_reduced$agency_engagement_12))] = replacement_for_NAs
aps_reduced$agency_engagement_13[which(is.na(aps_reduced$agency_engagement_13))] = replacement_for_NAs
aps_reduced$agency_engagement_14[which(is.na(aps_reduced$agency_engagement_14))] = replacement_for_NAs
aps_reduced$agency_engagement_15[which(is.na(aps_reduced$agency_engagement_15))] = replacement_for_NAs
aps_reduced$agency_engagement_16[which(is.na(aps_reduced$agency_engagement_16))] = replacement_for_NAs
aps_reduced$agency_engagement_17[which(is.na(aps_reduced$agency_engagement_17))] = replacement_for_NAs
aps_reduced$team_performance_support_1[which(is.na(aps_reduced$team_performance_support_1))] = replacement_for_NAs
aps_reduced$team_performance_support_2[which(is.na(aps_reduced$team_performance_support_2))] = replacement_for_NAs
aps_reduced$team_performance_support_3[which(is.na(aps_reduced$team_performance_support_3))] = replacement_for_NAs
aps_reduced$team_performance_support_4[which(is.na(aps_reduced$team_performance_support_4))] = replacement_for_NAs
aps_reduced$risk_culture_1[which(is.na(aps_reduced$risk_culture_1))] = replacement_for_NAs
aps_reduced$risk_culture_2[which(is.na(aps_reduced$risk_culture_2))] = replacement_for_NAs
aps_reduced$risk_culture_3[which(is.na(aps_reduced$risk_culture_3))] = replacement_for_NAs
aps_reduced$risk_culture_4[which(is.na(aps_reduced$risk_culture_4))] = replacement_for_NAs
aps_reduced$risk_culture_5[which(is.na(aps_reduced$risk_culture_5))] = replacement_for_NAs
aps_reduced$innovation_1[which(is.na(aps_reduced$innovation_1))] = replacement_for_NAs
aps_reduced$innovation_2[which(is.na(aps_reduced$innovation_2))] = replacement_for_NAs
aps_reduced$innovation_3[which(is.na(aps_reduced$innovation_3))] = replacement_for_NAs
aps_reduced$innovation_4[which(is.na(aps_reduced$innovation_4))] = replacement_for_NAs
aps_reduced$innovation_5[which(is.na(aps_reduced$innovation_5))] = replacement_for_NAs
aps_reduced$leadership_engagement_1[which(is.na(aps_reduced$leadership_engagement_1))] = replacement_for_NAs
aps_reduced$leadership_engagement_2[which(is.na(aps_reduced$leadership_engagement_2))] = replacement_for_NAs
aps_reduced$leadership_engagement_3[which(is.na(aps_reduced$leadership_engagement_3))] = replacement_for_NAs
aps_reduced$leadership_engagement_4[which(is.na(aps_reduced$leadership_engagement_4))] = replacement_for_NAs
aps_reduced$leadership_engagement_5[which(is.na(aps_reduced$leadership_engagement_5))] = replacement_for_NAs
aps_reduced$leadership_engagement_6[which(is.na(aps_reduced$leadership_engagement_6))] = replacement_for_NAs
aps_reduced$leadership_engagement_7[which(is.na(aps_reduced$leadership_engagement_7))] = replacement_for_NAs
aps_reduced$wellbeing_1[which(is.na(aps_reduced$wellbeing_1))] = replacement_for_NAs
aps_reduced$wellbeing_2[which(is.na(aps_reduced$wellbeing_2))] = replacement_for_NAs
aps_reduced$wellbeing_3[which(is.na(aps_reduced$wellbeing_3))] = replacement_for_NAs
aps_reduced$wellbeing_4[which(is.na(aps_reduced$wellbeing_4))] = replacement_for_NAs
aps_reduced$wellbeing_5[which(is.na(aps_reduced$wellbeing_5))] = replacement_for_NAs
aps_reduced$wellbeing_6[which(is.na(aps_reduced$wellbeing_6))] = replacement_for_NAs
aps_reduced$wellbeing_7[which(is.na(aps_reduced$wellbeing_7))] = replacement_for_NAs
aps_reduced$wellbeing_8[which(is.na(aps_reduced$wellbeing_8))] = replacement_for_NAs
aps_reduced$wellbeing_9[which(is.na(aps_reduced$wellbeing_9))] = replacement_for_NAs
aps_reduced$wellbeing_10[which(is.na(aps_reduced$wellbeing_10))] = replacement_for_NAs
aps_reduced$wellbeing_11[which(is.na(aps_reduced$wellbeing_11))] = replacement_for_NAs
aps_reduced$wellbeing_12[which(is.na(aps_reduced$wellbeing_12))] = replacement_for_NAs
aps_reduced$wellbeing_13[which(is.na(aps_reduced$wellbeing_13))] = replacement_for_NAs
aps_reduced$values_1[which(is.na(aps_reduced$values_1))] = replacement_for_NAs
aps_reduced$values_2[which(is.na(aps_reduced$values_2))] = replacement_for_NAs
aps_reduced$values_3[which(is.na(aps_reduced$values_3))] = replacement_for_NAs
# double checking data has no missing values and no answers other than 1-5
sum(is.na(aps_reduced))
## [1] 0
length(which(aps_reduced=="Do not know"))
## [1] 0
length(which(aps_reduced=="Don't know"))
## [1] 0
length(which(aps_reduced=="Not sure"))
## [1] 0
# developing 11 data frames grouping questions as per census
job_engagement_df <- data.frame(aps_reduced$job_engagement_1, aps_reduced$job_engagement_2, aps_reduced$job_engagement_3, aps_reduced$job_engagement_4, aps_reduced$job_engagement_5, aps_reduced$job_engagement_6, aps_reduced$job_engagement_7, aps_reduced$job_engagement_8, aps_reduced$job_engagement_9, aps_reduced$job_engagement_10)
team_engagement_df <- data.frame(aps_reduced$team_engagement_1, aps_reduced$team_engagement_2, aps_reduced$team_engagement_3, aps_reduced$team_engagement_4)
supervisor_engagement_df <- data.frame(aps_reduced$supervisor_engagement_1, aps_reduced$supervisor_engagement_2, aps_reduced$supervisor_engagement_3, aps_reduced$supervisor_engagement_4, aps_reduced$supervisor_engagement_5, aps_reduced$supervisor_engagement_6, aps_reduced$supervisor_engagement_7, aps_reduced$supervisor_engagement_8, aps_reduced$supervisor_engagement_9, aps_reduced$supervisor_engagement_10, aps_reduced$supervisor_engagement_11)
senior_manager_engagement_df <- data.frame(aps_reduced$senior_manager_engagement_1, aps_reduced$senior_manager_engagement_2, aps_reduced$senior_manager_engagement_3, aps_reduced$senior_manager_engagement_4, aps_reduced$senior_manager_engagement_5, aps_reduced$senior_manager_engagement_6, aps_reduced$senior_manager_engagement_7, aps_reduced$senior_manager_engagement_8, aps_reduced$senior_manager_engagement_9, aps_reduced$senior_manager_engagement_10, aps_reduced$senior_manager_engagement_11, aps_reduced$senior_manager_engagement_12)
agency_engagement_df <- data.frame(aps_reduced$agency_engagement_1, aps_reduced$agency_engagement_2, aps_reduced$agency_engagement_3, aps_reduced$agency_engagement_4, aps_reduced$agency_engagement_5, aps_reduced$agency_engagement_6, aps_reduced$agency_engagement_7, aps_reduced$agency_engagement_8, aps_reduced$agency_engagement_9, aps_reduced$agency_engagement_10, aps_reduced$agency_engagement_11, aps_reduced$agency_engagement_12, aps_reduced$agency_engagement_13, aps_reduced$agency_engagement_14, aps_reduced$agency_engagement_15, aps_reduced$agency_engagement_16, aps_reduced$agency_engagement_17)
team_performance_support_df <- data.frame(aps_reduced$team_performance_support_1, aps_reduced$team_performance_support_2, aps_reduced$team_performance_support_3, aps_reduced$team_performance_support_4)
risk_culture_df <- data.frame(aps_reduced$risk_culture_1, aps_reduced$risk_culture_2, aps_reduced$risk_culture_3, aps_reduced$risk_culture_4, aps_reduced$risk_culture_5)
innovation_df <- data.frame(aps_reduced$innovation_1, aps_reduced$innovation_2, aps_reduced$innovation_3, aps_reduced$innovation_4, aps_reduced$innovation_5)
leadership_engagement_df <- data.frame(aps_reduced$leadership_engagement_1, aps_reduced$leadership_engagement_2, aps_reduced$leadership_engagement_3, aps_reduced$leadership_engagement_4, aps_reduced$leadership_engagement_5, aps_reduced$leadership_engagement_6, aps_reduced$leadership_engagement_7)
wellbeing_df <- data.frame(aps_reduced$wellbeing_1, aps_reduced$wellbeing_2, aps_reduced$wellbeing_3, aps_reduced$wellbeing_4, aps_reduced$wellbeing_5, aps_reduced$wellbeing_6, aps_reduced$wellbeing_7, aps_reduced$wellbeing_8, aps_reduced$wellbeing_9, aps_reduced$wellbeing_10, aps_reduced$wellbeing_11, aps_reduced$wellbeing_12, aps_reduced$wellbeing_13)
values_df <- data.frame(aps_reduced$values_1, aps_reduced$values_2, aps_reduced$values_3)
# descriptive statistics for questions within each scale
# Descriptive statistics step 1: entering descriptive names for columns
names(job_engagement_df) <- c(
job_engagement_1 = column_names_1$full.question[5],
job_engagement_2 = column_names_1$full.question[6],
job_engagement_3 = column_names_1$full.question[7],
job_engagement_4 = column_names_1$full.question[8],
job_engagement_5 = column_names_1$full.question[9],
job_engagement_6 = column_names_1$full.question[10],
job_engagement_7 = column_names_1$full.question[11],
job_engagement_8 = column_names_1$full.question[12],
job_engagement_9 = column_names_1$full.question[13],
job_engagement_10 = column_names_1$full.question[14]
)
names(team_engagement_df) <- c(
team_engagement_1 = column_names_1$full.question[16],
team_engagement_2 = column_names_1$full.question[17],
team_engagement_3 = column_names_1$full.question[18],
team_engagement_4 = column_names_1$full.question[19]
)
names(supervisor_engagement_df) <- c(
supervisor_engagement_1 = column_names_1$full.question[21],
supervisor_engagement_2 = column_names_1$full.question[22],
supervisor_engagement_3 = column_names_1$full.question[23],
supervisor_engagement_4 = column_names_1$full.question[24],
supervisor_engagement_5 = column_names_1$full.question[26],
supervisor_engagement_6 = column_names_1$full.question[27],
supervisor_engagement_7 = column_names_1$full.question[28],
supervisor_engagement_8 = column_names_1$full.question[29],
supervisor_engagement_9 = column_names_1$full.question[30],
supervisor_engagement_10 = column_names_1$full.question[31],
supervisor_engagement_11 = column_names_1$full.question[32]
)
names(senior_manager_engagement_df) <- c(
senior_manager_engagement_1 = column_names_1$full.question[33],
senior_manager_engagement_2 = column_names_1$full.question[34],
senior_manager_engagement_3 = column_names_1$full.question[35],
senior_manager_engagement_4 = column_names_1$full.question[36],
senior_manager_engagement_5 = column_names_1$full.question[37],
senior_manager_engagement_6 = column_names_1$full.question[38],
senior_manager_engagement_7 = column_names_1$full.question[39],
senior_manager_engagement_8 = column_names_1$full.question[41],
senior_manager_engagement_9 = column_names_1$full.question[42],
senior_manager_engagement_10 = column_names_1$full.question[43],
senior_manager_engagement_11 = column_names_1$full.question[44],
senior_manager_engagement_12 = column_names_1$full.question[46]
)
names(agency_engagement_df) <- c(
agency_engagement_1 = column_names_1$full.question[55],
agency_engagement_2 = column_names_1$full.question[56],
agency_engagement_3 = column_names_1$full.question[57],
agency_engagement_4 = column_names_1$full.question[58],
agency_engagement_5 = column_names_1$full.question[59],
agency_engagement_6 = column_names_1$full.question[60],
agency_engagement_7 = column_names_1$full.question[61],
agency_engagement_8 = column_names_1$full.question[62],
agency_engagement_9 = column_names_1$full.question[63],
agency_engagement_10 = column_names_1$full.question[64],
agency_engagement_11 = column_names_1$full.question[65],
agency_engagement_12 = column_names_1$full.question[66],
agency_engagement_13 = column_names_1$full.question[68],
agency_engagement_14 = column_names_1$full.question[69],
agency_engagement_15 = column_names_1$full.question[70],
agency_engagement_16 = column_names_1$full.question[71],
agency_engagement_17 = column_names_1$full.question[72]
)
names(team_performance_support_df) <- c(
team_performance_support_1 = column_names_1$full.question[229],
team_performance_support_1 = column_names_1$full.question[230],
team_performance_support_1 = column_names_1$full.question[231],
team_performance_support_1 = column_names_1$full.question[232]
)
names(risk_culture_df) <- c(
risk_culture_1 = column_names_1$full.question[200],
risk_culture_1 = column_names_1$full.question[201],
risk_culture_1 = column_names_1$full.question[203],
risk_culture_1 = column_names_1$full.question[204],
risk_culture_1 = column_names_1$full.question[205]
)
names(innovation_df) <- c(
innovation_1 = column_names_1$full.question[221],
innovation_1 = column_names_1$full.question[222],
innovation_1 = column_names_1$full.question[223],
innovation_1 = column_names_1$full.question[224],
innovation_1 = column_names_1$full.question[225]
)
names(leadership_engagement_df) <- c(
leadership_engagement_1 = column_names_1$full.question[47],
leadership_engagement_2 = column_names_1$full.question[48],
leadership_engagement_3 = column_names_1$full.question[50],
leadership_engagement_4 = column_names_1$full.question[51],
leadership_engagement_5 = column_names_1$full.question[52],
leadership_engagement_6 = column_names_1$full.question[53],
leadership_engagement_7 = column_names_1$full.question[54]
)
names(wellbeing_df) <- c(
wellbeing_1 = column_names_1$full.question[74],
wellbeing_2 = column_names_1$full.question[87],
wellbeing_3 = column_names_1$full.question[88],
wellbeing_4 = column_names_1$full.question[89],
wellbeing_5 = column_names_1$full.question[90],
wellbeing_6 = column_names_1$full.question[91],
wellbeing_7 = column_names_1$full.question[92],
wellbeing_8 = column_names_1$full.question[93],
wellbeing_9 = column_names_1$full.question[94],
wellbeing_10 = column_names_1$full.question[95],
wellbeing_11 = column_names_1$full.question[96],
wellbeing_12 = column_names_1$full.question[97],
wellbeing_13 = column_names_1$full.question[98]
)
names(values_df) <- c(
values_1 = column_names_1$full.question[236],
values_1 = column_names_1$full.question[237],
values_1 = column_names_1$full.question[238]
)
names(aps_reduced$org_size) <- c(org_size = column_names_1$full.question[1])
names(aps_reduced$employee_level) <- c(org_size = column_names_1$full.question[4])
names(aps_reduced$team_performance_rating) <- c(org_size = column_names_1$full.question[226])
# Descriptive statistics step 2: descriptive statistics for questions within each scale (for 11 scales)
# Descriptive statistics step 2
#scale 1: job_engagement analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
job_engagement_likert <- likert(job_engagement_df)
summary(job_engagement_likert)
## Item
## 8 I am happy to go the ‘extra mile’ at O1 work when required
## 7 I suggest ideas to improve our way of doing things
## 1 My job gives me opportunities to utilise my skills
## 10 I believe strongly in the purpose O1 and objectives of the APS
## 5 I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)
## 2 My job gives me a feeling of personal accomplishment
## 6 I am satisfied with the stability and security of my current job
## 9 Considering everything, I am satisfied with my job
## 4 I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do
## 3 I am satisfied with the recognition I receive for doing a good job
## low neutral high mean sd
## 8 2.561455 5.884424 91.55412 4.258011 0.7126078
## 7 2.786741 12.330889 84.88237 4.040903 0.6949163
## 1 8.945732 9.655617 81.39865 3.921244 0.8735624
## 10 4.003520 16.330889 79.66559 4.007322 0.8042136
## 5 10.495747 11.610443 77.89381 3.882957 0.9564676
## 2 12.628923 14.638897 72.73218 3.756503 0.9688846
## 6 15.704312 13.361103 70.93458 3.707820 1.0643842
## 9 13.065415 17.152244 69.78234 3.696756 0.9676607
## 4 22.406571 15.975359 61.61807 3.459572 1.1195283
## 3 19.599883 19.746553 60.65356 3.492801 1.0721082
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(job_engagement_likert, type="bar")
# bar plot ordered by question (not centered)
plot(job_engagement_likert, group.order = names(job_engagement_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(job_engagement_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(job_engagement_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(job_engagement_df)
## vars
## My job gives me opportunities to utilise my skills* 1
## My job gives me a feeling of personal accomplishment* 2
## I am satisfied with the recognition I receive for doing a good job* 3
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 4
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 5
## I am satisfied with the stability and security of my current job* 6
## I suggest ideas to improve our way of doing things* 7
## I am happy to go the ‘extra mile’ at O1 work when required* 8
## Considering everything, I am satisfied with my job* 9
## I believe strongly in the purpose O1 and objectives of the APS* 10
## n
## My job gives me opportunities to utilise my skills* 85225
## My job gives me a feeling of personal accomplishment* 85225
## I am satisfied with the recognition I receive for doing a good job* 85225
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 85225
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 85225
## I am satisfied with the stability and security of my current job* 85225
## I suggest ideas to improve our way of doing things* 85225
## I am happy to go the ‘extra mile’ at O1 work when required* 85225
## Considering everything, I am satisfied with my job* 85225
## I believe strongly in the purpose O1 and objectives of the APS* 85225
## mean
## My job gives me opportunities to utilise my skills* 3.92
## My job gives me a feeling of personal accomplishment* 3.76
## I am satisfied with the recognition I receive for doing a good job* 3.49
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 3.46
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 3.88
## I am satisfied with the stability and security of my current job* 3.71
## I suggest ideas to improve our way of doing things* 4.04
## I am happy to go the ‘extra mile’ at O1 work when required* 4.26
## Considering everything, I am satisfied with my job* 3.70
## I believe strongly in the purpose O1 and objectives of the APS* 4.01
## sd
## My job gives me opportunities to utilise my skills* 0.87
## My job gives me a feeling of personal accomplishment* 0.97
## I am satisfied with the recognition I receive for doing a good job* 1.07
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 1.12
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 0.96
## I am satisfied with the stability and security of my current job* 1.06
## I suggest ideas to improve our way of doing things* 0.69
## I am happy to go the ‘extra mile’ at O1 work when required* 0.71
## Considering everything, I am satisfied with my job* 0.97
## I believe strongly in the purpose O1 and objectives of the APS* 0.80
## median
## My job gives me opportunities to utilise my skills* 4
## My job gives me a feeling of personal accomplishment* 4
## I am satisfied with the recognition I receive for doing a good job* 4
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 4
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 4
## I am satisfied with the stability and security of my current job* 4
## I suggest ideas to improve our way of doing things* 4
## I am happy to go the ‘extra mile’ at O1 work when required* 4
## Considering everything, I am satisfied with my job* 4
## I believe strongly in the purpose O1 and objectives of the APS* 4
## trimmed
## My job gives me opportunities to utilise my skills* 4.04
## My job gives me a feeling of personal accomplishment* 3.86
## I am satisfied with the recognition I receive for doing a good job* 3.56
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 3.54
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 4.02
## I am satisfied with the stability and security of my current job* 3.82
## I suggest ideas to improve our way of doing things* 4.09
## I am happy to go the ‘extra mile’ at O1 work when required* 4.34
## Considering everything, I am satisfied with my job* 3.79
## I believe strongly in the purpose O1 and objectives of the APS* 4.07
## mad
## My job gives me opportunities to utilise my skills* 0.00
## My job gives me a feeling of personal accomplishment* 0.00
## I am satisfied with the recognition I receive for doing a good job* 1.48
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 1.48
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 0.00
## I am satisfied with the stability and security of my current job* 0.00
## I suggest ideas to improve our way of doing things* 0.00
## I am happy to go the ‘extra mile’ at O1 work when required* 0.00
## Considering everything, I am satisfied with my job* 0.00
## I believe strongly in the purpose O1 and objectives of the APS* 0.00
## min
## My job gives me opportunities to utilise my skills* 1
## My job gives me a feeling of personal accomplishment* 1
## I am satisfied with the recognition I receive for doing a good job* 1
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 1
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 1
## I am satisfied with the stability and security of my current job* 1
## I suggest ideas to improve our way of doing things* 1
## I am happy to go the ‘extra mile’ at O1 work when required* 1
## Considering everything, I am satisfied with my job* 1
## I believe strongly in the purpose O1 and objectives of the APS* 1
## max
## My job gives me opportunities to utilise my skills* 5
## My job gives me a feeling of personal accomplishment* 5
## I am satisfied with the recognition I receive for doing a good job* 5
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 5
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 5
## I am satisfied with the stability and security of my current job* 5
## I suggest ideas to improve our way of doing things* 5
## I am happy to go the ‘extra mile’ at O1 work when required* 5
## Considering everything, I am satisfied with my job* 5
## I believe strongly in the purpose O1 and objectives of the APS* 5
## range
## My job gives me opportunities to utilise my skills* 4
## My job gives me a feeling of personal accomplishment* 4
## I am satisfied with the recognition I receive for doing a good job* 4
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 4
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 4
## I am satisfied with the stability and security of my current job* 4
## I suggest ideas to improve our way of doing things* 4
## I am happy to go the ‘extra mile’ at O1 work when required* 4
## Considering everything, I am satisfied with my job* 4
## I believe strongly in the purpose O1 and objectives of the APS* 4
## skew
## My job gives me opportunities to utilise my skills* -1.18
## My job gives me a feeling of personal accomplishment* -0.96
## I am satisfied with the recognition I receive for doing a good job* -0.68
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* -0.68
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* -1.11
## I am satisfied with the stability and security of my current job* -0.93
## I suggest ideas to improve our way of doing things* -0.82
## I am happy to go the ‘extra mile’ at O1 work when required* -1.22
## Considering everything, I am satisfied with my job* -0.91
## I believe strongly in the purpose O1 and objectives of the APS* -0.89
## kurtosis
## My job gives me opportunities to utilise my skills* 1.72
## My job gives me a feeling of personal accomplishment* 0.67
## I am satisfied with the recognition I receive for doing a good job* -0.23
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* -0.39
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 1.17
## I am satisfied with the stability and security of my current job* 0.29
## I suggest ideas to improve our way of doing things* 1.96
## I am happy to go the ‘extra mile’ at O1 work when required* 3.12
## Considering everything, I am satisfied with my job* 0.56
## I believe strongly in the purpose O1 and objectives of the APS* 1.46
## se
## My job gives me opportunities to utilise my skills* 0
## My job gives me a feeling of personal accomplishment* 0
## I am satisfied with the recognition I receive for doing a good job* 0
## I am fairly remunerated (e.g. salary, O1 superannuation) for the work that I do* 0
## I am satisfied with my non- monetary employment conditions (e.g. leave, flexible work arrangements, other benefits)* 0
## I am satisfied with the stability and security of my current job* 0
## I suggest ideas to improve our way of doing things* 0
## I am happy to go the ‘extra mile’ at O1 work when required* 0
## Considering everything, I am satisfied with my job* 0
## I believe strongly in the purpose O1 and objectives of the APS* 0
# Descriptive statistics step 2
#scale 2: team_engagement analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
team_engagement_likert <- likert(team_engagement_df)
summary(team_engagement_likert)
## Item
## 4 The people in my workgroup behave in an accepting manner towards people from diverse backgrounds
## 3 The people in my workgroup are committed to workplace safety
## 2 The people in my workgroup cooperate to get the job done
## 1 The people in my workgroup are honest, open and transparent in their dealings
## low neutral high mean sd
## 4 3.470813 7.585802 88.94339 4.201162 0.7645863
## 3 2.291581 10.806688 86.90173 4.121830 0.7093272
## 2 6.299795 9.898504 83.80170 4.059407 0.8473169
## 1 8.800235 12.463479 78.73629 3.947609 0.9250462
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(team_engagement_likert, type="bar")
# bar plot ordered by question (not centered)
plot(team_engagement_likert, group.order = names(team_engagement_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(team_engagement_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(team_engagement_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(team_engagement_df)
## vars
## The people in my workgroup are honest, open and transparent in their dealings* 1
## The people in my workgroup cooperate to get the job done* 2
## The people in my workgroup are committed to workplace safety* 3
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 4
## n
## The people in my workgroup are honest, open and transparent in their dealings* 85225
## The people in my workgroup cooperate to get the job done* 85225
## The people in my workgroup are committed to workplace safety* 85225
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 85225
## mean
## The people in my workgroup are honest, open and transparent in their dealings* 3.95
## The people in my workgroup cooperate to get the job done* 4.06
## The people in my workgroup are committed to workplace safety* 4.12
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 4.20
## sd
## The people in my workgroup are honest, open and transparent in their dealings* 0.93
## The people in my workgroup cooperate to get the job done* 0.85
## The people in my workgroup are committed to workplace safety* 0.71
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 0.76
## median
## The people in my workgroup are honest, open and transparent in their dealings* 4
## The people in my workgroup cooperate to get the job done* 4
## The people in my workgroup are committed to workplace safety* 4
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 4
## trimmed
## The people in my workgroup are honest, open and transparent in their dealings* 4.07
## The people in my workgroup cooperate to get the job done* 4.17
## The people in my workgroup are committed to workplace safety* 4.19
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 4.31
## mad
## The people in my workgroup are honest, open and transparent in their dealings* 0
## The people in my workgroup cooperate to get the job done* 0
## The people in my workgroup are committed to workplace safety* 0
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 0
## min
## The people in my workgroup are honest, open and transparent in their dealings* 1
## The people in my workgroup cooperate to get the job done* 1
## The people in my workgroup are committed to workplace safety* 1
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 1
## max
## The people in my workgroup are honest, open and transparent in their dealings* 5
## The people in my workgroup cooperate to get the job done* 5
## The people in my workgroup are committed to workplace safety* 5
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 5
## range
## The people in my workgroup are honest, open and transparent in their dealings* 4
## The people in my workgroup cooperate to get the job done* 4
## The people in my workgroup are committed to workplace safety* 4
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 4
## skew
## The people in my workgroup are honest, open and transparent in their dealings* -1.07
## The people in my workgroup cooperate to get the job done* -1.16
## The people in my workgroup are committed to workplace safety* -0.92
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* -1.25
## kurtosis
## The people in my workgroup are honest, open and transparent in their dealings* 1.18
## The people in my workgroup cooperate to get the job done* 1.83
## The people in my workgroup are committed to workplace safety* 2.27
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 2.82
## se
## The people in my workgroup are honest, open and transparent in their dealings* 0
## The people in my workgroup cooperate to get the job done* 0
## The people in my workgroup are committed to workplace safety* 0
## The people in my workgroup behave in an accepting manner towards people from diverse backgrounds* 0
# Descriptive statistics step 2
#scale 3: supervisor_engagement analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
supervisor_engagement_likert <- likert(supervisor_engagement_df)
summary(supervisor_engagement_likert)
## Item
## 2 My supervisor treats people with respect
## 3 My supervisor communicates effectively
## 1 My supervisor actively supports people from diverse backgrounds
## 9 My supervisor gives me responsibility and holds me to account for what I deliver
## 4 My supervisor encourages me to contribute ideas
## 11 My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender
## 8 I have a good immediate supervisor
## 7 My supervisor maintains composure under pressure
## 6 My supervisor displays resilience when faced with difficulties or failures
## 5 My supervisor invites a range of views, including those different to their own
## 10 My supervisor challenges me to consider new ways of doing things
## low neutral high mean sd
## 2 4.645351 7.076562 88.27809 4.237853 0.8268604
## 3 4.645351 7.076562 88.27809 4.237853 0.8268604
## 1 2.345556 11.366383 86.28806 4.216275 0.7644047
## 9 4.418891 9.887944 85.69317 4.156398 0.8229265
## 4 6.361983 10.075682 83.56233 4.133951 0.9005433
## 11 6.139044 11.294808 82.56615 4.137108 0.9236996
## 8 7.082429 11.125843 81.79173 4.126231 0.9586397
## 7 7.315928 12.801408 79.88266 4.051816 0.9378584
## 6 6.905251 13.341156 79.75359 4.056099 0.9310627
## 5 8.160751 13.174538 78.66471 4.006442 0.9527923
## 10 8.504547 17.760047 73.73541 3.927521 0.9570183
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(supervisor_engagement_likert, type="bar")
# bar plot ordered by question (not centered)
plot(supervisor_engagement_likert, group.order = names(supervisor_engagement_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(supervisor_engagement_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(supervisor_engagement_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(supervisor_engagement_df)
## vars
## My supervisor actively supports people from diverse backgrounds* 1
## My supervisor treats people with respect* 2
## My supervisor communicates effectively* 3
## My supervisor encourages me to contribute ideas* 4
## My supervisor invites a range of views, including those different to their own* 5
## My supervisor displays resilience when faced with difficulties or failures* 6
## My supervisor maintains composure under pressure* 7
## I have a good immediate supervisor* 8
## My supervisor gives me responsibility and holds me to account for what I deliver* 9
## My supervisor challenges me to consider new ways of doing things* 10
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 11
## n
## My supervisor actively supports people from diverse backgrounds* 85225
## My supervisor treats people with respect* 85225
## My supervisor communicates effectively* 85225
## My supervisor encourages me to contribute ideas* 85225
## My supervisor invites a range of views, including those different to their own* 85225
## My supervisor displays resilience when faced with difficulties or failures* 85225
## My supervisor maintains composure under pressure* 85225
## I have a good immediate supervisor* 85225
## My supervisor gives me responsibility and holds me to account for what I deliver* 85225
## My supervisor challenges me to consider new ways of doing things* 85225
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 85225
## mean
## My supervisor actively supports people from diverse backgrounds* 4.22
## My supervisor treats people with respect* 4.24
## My supervisor communicates effectively* 4.24
## My supervisor encourages me to contribute ideas* 4.13
## My supervisor invites a range of views, including those different to their own* 4.01
## My supervisor displays resilience when faced with difficulties or failures* 4.06
## My supervisor maintains composure under pressure* 4.05
## I have a good immediate supervisor* 4.13
## My supervisor gives me responsibility and holds me to account for what I deliver* 4.16
## My supervisor challenges me to consider new ways of doing things* 3.93
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 4.14
## sd
## My supervisor actively supports people from diverse backgrounds* 0.76
## My supervisor treats people with respect* 0.83
## My supervisor communicates effectively* 0.83
## My supervisor encourages me to contribute ideas* 0.90
## My supervisor invites a range of views, including those different to their own* 0.95
## My supervisor displays resilience when faced with difficulties or failures* 0.93
## My supervisor maintains composure under pressure* 0.94
## I have a good immediate supervisor* 0.96
## My supervisor gives me responsibility and holds me to account for what I deliver* 0.82
## My supervisor challenges me to consider new ways of doing things* 0.96
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 0.92
## median
## My supervisor actively supports people from diverse backgrounds* 4
## My supervisor treats people with respect* 4
## My supervisor communicates effectively* 4
## My supervisor encourages me to contribute ideas* 4
## My supervisor invites a range of views, including those different to their own* 4
## My supervisor displays resilience when faced with difficulties or failures* 4
## My supervisor maintains composure under pressure* 4
## I have a good immediate supervisor* 4
## My supervisor gives me responsibility and holds me to account for what I deliver* 4
## My supervisor challenges me to consider new ways of doing things* 4
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 4
## trimmed
## My supervisor actively supports people from diverse backgrounds* 4.31
## My supervisor treats people with respect* 4.37
## My supervisor communicates effectively* 4.37
## My supervisor encourages me to contribute ideas* 4.27
## My supervisor invites a range of views, including those different to their own* 4.14
## My supervisor displays resilience when faced with difficulties or failures* 4.18
## My supervisor maintains composure under pressure* 4.18
## I have a good immediate supervisor* 4.28
## My supervisor gives me responsibility and holds me to account for what I deliver* 4.27
## My supervisor challenges me to consider new ways of doing things* 4.04
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 4.28
## mad
## My supervisor actively supports people from diverse backgrounds* 1.48
## My supervisor treats people with respect* 1.48
## My supervisor communicates effectively* 1.48
## My supervisor encourages me to contribute ideas* 1.48
## My supervisor invites a range of views, including those different to their own* 1.48
## My supervisor displays resilience when faced with difficulties or failures* 1.48
## My supervisor maintains composure under pressure* 1.48
## I have a good immediate supervisor* 1.48
## My supervisor gives me responsibility and holds me to account for what I deliver* 1.48
## My supervisor challenges me to consider new ways of doing things* 1.48
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 1.48
## min
## My supervisor actively supports people from diverse backgrounds* 1
## My supervisor treats people with respect* 1
## My supervisor communicates effectively* 1
## My supervisor encourages me to contribute ideas* 1
## My supervisor invites a range of views, including those different to their own* 1
## My supervisor displays resilience when faced with difficulties or failures* 1
## My supervisor maintains composure under pressure* 1
## I have a good immediate supervisor* 1
## My supervisor gives me responsibility and holds me to account for what I deliver* 1
## My supervisor challenges me to consider new ways of doing things* 1
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 1
## max
## My supervisor actively supports people from diverse backgrounds* 5
## My supervisor treats people with respect* 5
## My supervisor communicates effectively* 5
## My supervisor encourages me to contribute ideas* 5
## My supervisor invites a range of views, including those different to their own* 5
## My supervisor displays resilience when faced with difficulties or failures* 5
## My supervisor maintains composure under pressure* 5
## I have a good immediate supervisor* 5
## My supervisor gives me responsibility and holds me to account for what I deliver* 5
## My supervisor challenges me to consider new ways of doing things* 5
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 5
## range
## My supervisor actively supports people from diverse backgrounds* 4
## My supervisor treats people with respect* 4
## My supervisor communicates effectively* 4
## My supervisor encourages me to contribute ideas* 4
## My supervisor invites a range of views, including those different to their own* 4
## My supervisor displays resilience when faced with difficulties or failures* 4
## My supervisor maintains composure under pressure* 4
## I have a good immediate supervisor* 4
## My supervisor gives me responsibility and holds me to account for what I deliver* 4
## My supervisor challenges me to consider new ways of doing things* 4
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 4
## skew
## My supervisor actively supports people from diverse backgrounds* -1.02
## My supervisor treats people with respect* -1.40
## My supervisor communicates effectively* -1.40
## My supervisor encourages me to contribute ideas* -1.25
## My supervisor invites a range of views, including those different to their own* -1.09
## My supervisor displays resilience when faced with difficulties or failures* -1.12
## My supervisor maintains composure under pressure* -1.13
## I have a good immediate supervisor* -1.29
## My supervisor gives me responsibility and holds me to account for what I deliver* -1.22
## My supervisor challenges me to consider new ways of doing things* -0.88
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* -1.28
## kurtosis
## My supervisor actively supports people from diverse backgrounds* 1.71
## My supervisor treats people with respect* 2.64
## My supervisor communicates effectively* 2.64
## My supervisor encourages me to contribute ideas* 1.73
## My supervisor invites a range of views, including those different to their own* 1.12
## My supervisor displays resilience when faced with difficulties or failures* 1.28
## My supervisor maintains composure under pressure* 1.26
## I have a good immediate supervisor* 1.59
## My supervisor gives me responsibility and holds me to account for what I deliver* 2.19
## My supervisor challenges me to consider new ways of doing things* 0.54
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 1.77
## se
## My supervisor actively supports people from diverse backgrounds* 0
## My supervisor treats people with respect* 0
## My supervisor communicates effectively* 0
## My supervisor encourages me to contribute ideas* 0
## My supervisor invites a range of views, including those different to their own* 0
## My supervisor displays resilience when faced with difficulties or failures* 0
## My supervisor maintains composure under pressure* 0
## I have a good immediate supervisor* 0
## My supervisor gives me responsibility and holds me to account for what I deliver* 0
## My supervisor challenges me to consider new ways of doing things* 0
## My supervisor actively supports the use of flexible work arrangements by all staff, regardless of gender* 0
# Descriptive statistics step 2
#scale 4: senior_manager_engagement analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
senior_manager_engagement_likert <- likert(senior_manager_engagement_df)
summary(senior_manager_engagement_likert)
## Item
## 1 My SES manager is of a high quality
## 9 My SES manager actively supports people of diverse backgrounds
## 6 My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS
## 2 My SES manager is sufficiently visible (e.g. can be seen in action)
## 3 My SES manager communicates effectively
## 10 My SES manager actively supports opportunities for women to access leadership roles
## 12 My SES manager clearly articulates the direction and priorities for our area
## 11 My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender
## 8 My SES manager encourages innovation and creativity
## 4 My SES manager engages with staff on how to respond to future challenges
## 7 My SES manager effectively leads and manages change
## 5 My SES manager gives their time to identify and develop talented people
## low neutral high mean sd
## 1 8.894104 24.09152 67.01437 3.797888 0.9795119
## 9 4.001173 29.21209 66.78674 3.856368 0.8771910
## 6 8.231153 25.12291 66.64594 3.777155 0.9575724
## 2 15.598709 19.48489 64.91640 3.681514 1.0954747
## 3 13.436198 21.70373 64.86008 3.692719 1.0460336
## 10 4.673511 31.93312 63.39337 3.831869 0.9174600
## 12 12.938692 24.20065 62.86066 3.668079 1.0507549
## 11 7.633910 30.66354 61.70255 3.737354 0.9656698
## 8 10.826635 27.80053 61.37284 3.679108 1.0022167
## 4 14.404224 24.64770 60.94808 3.626764 1.0569130
## 7 13.722499 27.23262 59.04488 3.606888 1.0638390
## 5 17.787034 35.85802 46.35494 3.388560 1.0792097
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(senior_manager_engagement_likert, type="bar")
# bar plot ordered by question (not centered)
plot(senior_manager_engagement_likert, group.order = names(senior_manager_engagement_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(senior_manager_engagement_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(senior_manager_engagement_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(senior_manager_engagement_df)
## vars
## My SES manager is of a high quality* 1
## My SES manager is sufficiently visible (e.g. can be seen in action)* 2
## My SES manager communicates effectively* 3
## My SES manager engages with staff on how to respond to future challenges* 4
## My SES manager gives their time to identify and develop talented people* 5
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 6
## My SES manager effectively leads and manages change* 7
## My SES manager encourages innovation and creativity* 8
## My SES manager actively supports people of diverse backgrounds* 9
## My SES manager actively supports opportunities for women to access leadership roles* 10
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 11
## My SES manager clearly articulates the direction and priorities for our area* 12
## n
## My SES manager is of a high quality* 85225
## My SES manager is sufficiently visible (e.g. can be seen in action)* 85225
## My SES manager communicates effectively* 85225
## My SES manager engages with staff on how to respond to future challenges* 85225
## My SES manager gives their time to identify and develop talented people* 85225
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 85225
## My SES manager effectively leads and manages change* 85225
## My SES manager encourages innovation and creativity* 85225
## My SES manager actively supports people of diverse backgrounds* 85225
## My SES manager actively supports opportunities for women to access leadership roles* 85225
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 85225
## My SES manager clearly articulates the direction and priorities for our area* 85225
## mean
## My SES manager is of a high quality* 3.80
## My SES manager is sufficiently visible (e.g. can be seen in action)* 3.68
## My SES manager communicates effectively* 3.69
## My SES manager engages with staff on how to respond to future challenges* 3.63
## My SES manager gives their time to identify and develop talented people* 3.39
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 3.78
## My SES manager effectively leads and manages change* 3.61
## My SES manager encourages innovation and creativity* 3.68
## My SES manager actively supports people of diverse backgrounds* 3.86
## My SES manager actively supports opportunities for women to access leadership roles* 3.83
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 3.74
## My SES manager clearly articulates the direction and priorities for our area* 3.67
## sd
## My SES manager is of a high quality* 0.98
## My SES manager is sufficiently visible (e.g. can be seen in action)* 1.10
## My SES manager communicates effectively* 1.05
## My SES manager engages with staff on how to respond to future challenges* 1.06
## My SES manager gives their time to identify and develop talented people* 1.08
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 0.96
## My SES manager effectively leads and manages change* 1.06
## My SES manager encourages innovation and creativity* 1.00
## My SES manager actively supports people of diverse backgrounds* 0.88
## My SES manager actively supports opportunities for women to access leadership roles* 0.92
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 0.97
## My SES manager clearly articulates the direction and priorities for our area* 1.05
## median
## My SES manager is of a high quality* 4
## My SES manager is sufficiently visible (e.g. can be seen in action)* 4
## My SES manager communicates effectively* 4
## My SES manager engages with staff on how to respond to future challenges* 4
## My SES manager gives their time to identify and develop talented people* 3
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 4
## My SES manager effectively leads and manages change* 4
## My SES manager encourages innovation and creativity* 4
## My SES manager actively supports people of diverse backgrounds* 4
## My SES manager actively supports opportunities for women to access leadership roles* 4
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 4
## My SES manager clearly articulates the direction and priorities for our area* 4
## trimmed
## My SES manager is of a high quality* 3.90
## My SES manager is sufficiently visible (e.g. can be seen in action)* 3.79
## My SES manager communicates effectively* 3.79
## My SES manager engages with staff on how to respond to future challenges* 3.72
## My SES manager gives their time to identify and develop talented people* 3.44
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 3.86
## My SES manager effectively leads and manages change* 3.70
## My SES manager encourages innovation and creativity* 3.77
## My SES manager actively supports people of diverse backgrounds* 3.89
## My SES manager actively supports opportunities for women to access leadership roles* 3.87
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 3.81
## My SES manager clearly articulates the direction and priorities for our area* 3.77
## mad
## My SES manager is of a high quality* 1.48
## My SES manager is sufficiently visible (e.g. can be seen in action)* 1.48
## My SES manager communicates effectively* 1.48
## My SES manager engages with staff on how to respond to future challenges* 1.48
## My SES manager gives their time to identify and develop talented people* 1.48
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 1.48
## My SES manager effectively leads and manages change* 1.48
## My SES manager encourages innovation and creativity* 1.48
## My SES manager actively supports people of diverse backgrounds* 1.48
## My SES manager actively supports opportunities for women to access leadership roles* 1.48
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 1.48
## My SES manager clearly articulates the direction and priorities for our area* 1.48
## min
## My SES manager is of a high quality* 1
## My SES manager is sufficiently visible (e.g. can be seen in action)* 1
## My SES manager communicates effectively* 1
## My SES manager engages with staff on how to respond to future challenges* 1
## My SES manager gives their time to identify and develop talented people* 1
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 1
## My SES manager effectively leads and manages change* 1
## My SES manager encourages innovation and creativity* 1
## My SES manager actively supports people of diverse backgrounds* 1
## My SES manager actively supports opportunities for women to access leadership roles* 1
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 1
## My SES manager clearly articulates the direction and priorities for our area* 1
## max
## My SES manager is of a high quality* 5
## My SES manager is sufficiently visible (e.g. can be seen in action)* 5
## My SES manager communicates effectively* 5
## My SES manager engages with staff on how to respond to future challenges* 5
## My SES manager gives their time to identify and develop talented people* 5
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 5
## My SES manager effectively leads and manages change* 5
## My SES manager encourages innovation and creativity* 5
## My SES manager actively supports people of diverse backgrounds* 5
## My SES manager actively supports opportunities for women to access leadership roles* 5
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 5
## My SES manager clearly articulates the direction and priorities for our area* 5
## range
## My SES manager is of a high quality* 4
## My SES manager is sufficiently visible (e.g. can be seen in action)* 4
## My SES manager communicates effectively* 4
## My SES manager engages with staff on how to respond to future challenges* 4
## My SES manager gives their time to identify and develop talented people* 4
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 4
## My SES manager effectively leads and manages change* 4
## My SES manager encourages innovation and creativity* 4
## My SES manager actively supports people of diverse backgrounds* 4
## My SES manager actively supports opportunities for women to access leadership roles* 4
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 4
## My SES manager clearly articulates the direction and priorities for our area* 4
## skew
## My SES manager is of a high quality* -0.75
## My SES manager is sufficiently visible (e.g. can be seen in action)* -0.73
## My SES manager communicates effectively* -0.74
## My SES manager engages with staff on how to respond to future challenges* -0.64
## My SES manager gives their time to identify and develop talented people* -0.33
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* -0.77
## My SES manager effectively leads and manages change* -0.63
## My SES manager encourages innovation and creativity* -0.63
## My SES manager actively supports people of diverse backgrounds* -0.56
## My SES manager actively supports opportunities for women to access leadership roles* -0.49
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* -0.61
## My SES manager clearly articulates the direction and priorities for our area* -0.72
## kurtosis
## My SES manager is of a high quality* 0.40
## My SES manager is sufficiently visible (e.g. can be seen in action)* -0.11
## My SES manager communicates effectively* 0.08
## My SES manager engages with staff on how to respond to future challenges* -0.09
## My SES manager gives their time to identify and develop talented people* -0.37
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 0.58
## My SES manager effectively leads and manages change* -0.04
## My SES manager encourages innovation and creativity* 0.15
## My SES manager actively supports people of diverse backgrounds* 0.47
## My SES manager actively supports opportunities for women to access leadership roles* 0.14
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 0.31
## My SES manager clearly articulates the direction and priorities for our area* 0.10
## se
## My SES manager is of a high quality* 0
## My SES manager is sufficiently visible (e.g. can be seen in action)* 0
## My SES manager communicates effectively* 0
## My SES manager engages with staff on how to respond to future challenges* 0
## My SES manager gives their time to identify and develop talented people* 0
## My SES manager ensures that work effort contributes to the strategic direction of the agency and the APS* 0
## My SES manager effectively leads and manages change* 0
## My SES manager encourages innovation and creativity* 0
## My SES manager actively supports people of diverse backgrounds* 0
## My SES manager actively supports opportunities for women to access leadership roles* 0
## My SES manager actively supports the use of flexible work arrangements by all staff, regardless of gender* 0
## My SES manager clearly articulates the direction and priorities for our area* 0
# Descriptive statistics step 2
#scale 5: agency_engagement analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
agency_engagement_likert <- likert(agency_engagement_df)
summary(agency_engagement_likert)
## Item
## 8 My agency actively encourages ethical behaviour by all of its employees
## 13 I work beyond what is required in my job to help my agency achieve its objectives
## 9 My agency is committed to creating a diverse workforce
## 10 I believe strongly in the purpose and objectives of my agency
## 16 I feel committed to my agency’s goals
## 12 My agency supports and actively promotes an inclusive workplace culture
## 2 I am proud to work in my agen
## 11 Internal communication within my agency is regular
## 1 I feel a strong personal attachment to my agency
## 5 My workplace provides access to effective learning and development
## 7 I would recommend my agency as a good place to work
## 14 When someone praises the accomplishments of my agency, it feels like a personal compliment to me
## 17 My agency really inspires me to do my best work every day
## 4 Internal communication within my agency is effective
## 15 In general, employees in my agency feel they are valued for their contribution
## 6 I am satisfied with the opportunities for career progression in my agency
## 3 Change is managed well in my agency
## low neutral high mean sd
## 8 7.298328 12.70871 79.99296 3.953488 0.8920918
## 13 4.015254 16.61484 79.36990 3.983913 0.7769754
## 9 4.536228 17.61572 77.84805 3.967334 0.8301289
## 10 4.875330 17.32238 77.80229 3.973928 0.8418698
## 16 5.020827 17.86213 77.11704 3.886113 0.7881584
## 12 7.102376 17.19097 75.70666 3.840692 0.8416748
## 2 8.552655 18.41948 73.02787 3.857178 0.9299706
## 11 10.134350 16.97976 72.88589 3.734385 0.8631638
## 1 12.855383 21.89968 65.24494 3.683626 0.9879507
## 5 17.938398 18.25638 63.80522 3.538680 1.0516040
## 7 15.060135 22.95101 61.98885 3.571217 1.0319113
## 14 16.795541 31.90378 51.30067 3.425673 0.9625937
## 17 17.074802 32.16427 50.76093 3.397794 0.9911013
## 4 27.210326 26.28454 46.50513 3.187715 1.0636315
## 15 26.498093 29.30361 44.19830 3.164905 1.0514125
## 6 35.327662 23.80874 40.86360 3.000505 1.1849174
## 3 33.674391 28.16075 38.16486 3.008307 1.0999951
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(agency_engagement_likert, type="bar")
# bar plot ordered by question (not centered)
plot(agency_engagement_likert, group.order = names(agency_engagement_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(agency_engagement_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(agency_engagement_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(agency_engagement_df)
## vars
## I feel a strong personal attachment to my agency* 1
## I am proud to work in my agen* 2
## Change is managed well in my agency* 3
## Internal communication within my agency is effective* 4
## My workplace provides access to effective learning and development * 5
## I am satisfied with the opportunities for career progression in my agency* 6
## I would recommend my agency as a good place to work* 7
## My agency actively encourages ethical behaviour by all of its employees* 8
## My agency is committed to creating a diverse workforce * 9
## I believe strongly in the purpose and objectives of my agency* 10
## Internal communication within my agency is regular* 11
## My agency supports and actively promotes an inclusive workplace culture* 12
## I work beyond what is required in my job to help my agency achieve its objectives* 13
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 14
## In general, employees in my agency feel they are valued for their contribution* 15
## I feel committed to my agency’s goals* 16
## My agency really inspires me to do my best work every day* 17
## n
## I feel a strong personal attachment to my agency* 85225
## I am proud to work in my agen* 85225
## Change is managed well in my agency* 85225
## Internal communication within my agency is effective* 85225
## My workplace provides access to effective learning and development * 85225
## I am satisfied with the opportunities for career progression in my agency* 85225
## I would recommend my agency as a good place to work* 85225
## My agency actively encourages ethical behaviour by all of its employees* 85225
## My agency is committed to creating a diverse workforce * 85225
## I believe strongly in the purpose and objectives of my agency* 85225
## Internal communication within my agency is regular* 85225
## My agency supports and actively promotes an inclusive workplace culture* 85225
## I work beyond what is required in my job to help my agency achieve its objectives* 85225
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 85225
## In general, employees in my agency feel they are valued for their contribution* 85225
## I feel committed to my agency’s goals* 85225
## My agency really inspires me to do my best work every day* 85225
## mean
## I feel a strong personal attachment to my agency* 3.68
## I am proud to work in my agen* 3.86
## Change is managed well in my agency* 3.01
## Internal communication within my agency is effective* 3.19
## My workplace provides access to effective learning and development * 3.54
## I am satisfied with the opportunities for career progression in my agency* 3.00
## I would recommend my agency as a good place to work* 3.57
## My agency actively encourages ethical behaviour by all of its employees* 3.95
## My agency is committed to creating a diverse workforce * 3.97
## I believe strongly in the purpose and objectives of my agency* 3.97
## Internal communication within my agency is regular* 3.73
## My agency supports and actively promotes an inclusive workplace culture* 3.84
## I work beyond what is required in my job to help my agency achieve its objectives* 3.98
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 3.43
## In general, employees in my agency feel they are valued for their contribution* 3.16
## I feel committed to my agency’s goals* 3.89
## My agency really inspires me to do my best work every day* 3.40
## sd
## I feel a strong personal attachment to my agency* 0.99
## I am proud to work in my agen* 0.93
## Change is managed well in my agency* 1.10
## Internal communication within my agency is effective* 1.06
## My workplace provides access to effective learning and development * 1.05
## I am satisfied with the opportunities for career progression in my agency* 1.18
## I would recommend my agency as a good place to work* 1.03
## My agency actively encourages ethical behaviour by all of its employees* 0.89
## My agency is committed to creating a diverse workforce * 0.83
## I believe strongly in the purpose and objectives of my agency* 0.84
## Internal communication within my agency is regular* 0.86
## My agency supports and actively promotes an inclusive workplace culture* 0.84
## I work beyond what is required in my job to help my agency achieve its objectives* 0.78
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 0.96
## In general, employees in my agency feel they are valued for their contribution* 1.05
## I feel committed to my agency’s goals* 0.79
## My agency really inspires me to do my best work every day* 0.99
## median
## I feel a strong personal attachment to my agency* 4
## I am proud to work in my agen* 4
## Change is managed well in my agency* 3
## Internal communication within my agency is effective* 3
## My workplace provides access to effective learning and development * 4
## I am satisfied with the opportunities for career progression in my agency* 3
## I would recommend my agency as a good place to work* 4
## My agency actively encourages ethical behaviour by all of its employees* 4
## My agency is committed to creating a diverse workforce * 4
## I believe strongly in the purpose and objectives of my agency* 4
## Internal communication within my agency is regular* 4
## My agency supports and actively promotes an inclusive workplace culture* 4
## I work beyond what is required in my job to help my agency achieve its objectives* 4
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 4
## In general, employees in my agency feel they are valued for their contribution* 3
## I feel committed to my agency’s goals* 4
## My agency really inspires me to do my best work every day* 4
## trimmed
## I feel a strong personal attachment to my agency* 3.77
## I am proud to work in my agen* 3.96
## Change is managed well in my agency* 3.06
## Internal communication within my agency is effective* 3.24
## My workplace provides access to effective learning and development * 3.62
## I am satisfied with the opportunities for career progression in my agency* 3.03
## I would recommend my agency as a good place to work* 3.65
## My agency actively encourages ethical behaviour by all of its employees* 4.06
## My agency is committed to creating a diverse workforce * 4.04
## I believe strongly in the purpose and objectives of my agency* 4.05
## Internal communication within my agency is regular* 3.82
## My agency supports and actively promotes an inclusive workplace culture* 3.92
## I work beyond what is required in my job to help my agency achieve its objectives* 4.04
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 3.45
## In general, employees in my agency feel they are valued for their contribution* 3.22
## I feel committed to my agency’s goals* 3.94
## My agency really inspires me to do my best work every day* 3.43
## mad
## I feel a strong personal attachment to my agency* 1.48
## I am proud to work in my agen* 1.48
## Change is managed well in my agency* 1.48
## Internal communication within my agency is effective* 1.48
## My workplace provides access to effective learning and development * 0.00
## I am satisfied with the opportunities for career progression in my agency* 1.48
## I would recommend my agency as a good place to work* 1.48
## My agency actively encourages ethical behaviour by all of its employees* 0.00
## My agency is committed to creating a diverse workforce * 0.00
## I believe strongly in the purpose and objectives of my agency* 0.00
## Internal communication within my agency is regular* 0.00
## My agency supports and actively promotes an inclusive workplace culture* 0.00
## I work beyond what is required in my job to help my agency achieve its objectives* 0.00
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 1.48
## In general, employees in my agency feel they are valued for their contribution* 1.48
## I feel committed to my agency’s goals* 0.00
## My agency really inspires me to do my best work every day* 1.48
## min
## I feel a strong personal attachment to my agency* 1
## I am proud to work in my agen* 1
## Change is managed well in my agency* 1
## Internal communication within my agency is effective* 1
## My workplace provides access to effective learning and development * 1
## I am satisfied with the opportunities for career progression in my agency* 1
## I would recommend my agency as a good place to work* 1
## My agency actively encourages ethical behaviour by all of its employees* 1
## My agency is committed to creating a diverse workforce * 1
## I believe strongly in the purpose and objectives of my agency* 1
## Internal communication within my agency is regular* 1
## My agency supports and actively promotes an inclusive workplace culture* 1
## I work beyond what is required in my job to help my agency achieve its objectives* 1
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 1
## In general, employees in my agency feel they are valued for their contribution* 1
## I feel committed to my agency’s goals* 1
## My agency really inspires me to do my best work every day* 1
## max
## I feel a strong personal attachment to my agency* 5
## I am proud to work in my agen* 5
## Change is managed well in my agency* 5
## Internal communication within my agency is effective* 5
## My workplace provides access to effective learning and development * 5
## I am satisfied with the opportunities for career progression in my agency* 5
## I would recommend my agency as a good place to work* 5
## My agency actively encourages ethical behaviour by all of its employees* 5
## My agency is committed to creating a diverse workforce * 5
## I believe strongly in the purpose and objectives of my agency* 5
## Internal communication within my agency is regular* 5
## My agency supports and actively promotes an inclusive workplace culture* 5
## I work beyond what is required in my job to help my agency achieve its objectives* 5
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 5
## In general, employees in my agency feel they are valued for their contribution* 5
## I feel committed to my agency’s goals* 5
## My agency really inspires me to do my best work every day* 5
## range
## I feel a strong personal attachment to my agency* 4
## I am proud to work in my agen* 4
## Change is managed well in my agency* 4
## Internal communication within my agency is effective* 4
## My workplace provides access to effective learning and development * 4
## I am satisfied with the opportunities for career progression in my agency* 4
## I would recommend my agency as a good place to work* 4
## My agency actively encourages ethical behaviour by all of its employees* 4
## My agency is committed to creating a diverse workforce * 4
## I believe strongly in the purpose and objectives of my agency* 4
## Internal communication within my agency is regular* 4
## My agency supports and actively promotes an inclusive workplace culture* 4
## I work beyond what is required in my job to help my agency achieve its objectives* 4
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 4
## In general, employees in my agency feel they are valued for their contribution* 4
## I feel committed to my agency’s goals* 4
## My agency really inspires me to do my best work every day* 4
## skew
## I feel a strong personal attachment to my agency* -0.70
## I am proud to work in my agen* -0.90
## Change is managed well in my agency* -0.18
## Internal communication within my agency is effective* -0.41
## My workplace provides access to effective learning and development * -0.80
## I am satisfied with the opportunities for career progression in my agency* -0.20
## I would recommend my agency as a good place to work* -0.75
## My agency actively encourages ethical behaviour by all of its employees* -1.17
## My agency is committed to creating a diverse workforce * -0.93
## I believe strongly in the purpose and objectives of my agency* -0.93
## Internal communication within my agency is regular* -1.03
## My agency supports and actively promotes an inclusive workplace culture* -1.03
## I work beyond what is required in my job to help my agency achieve its objectives* -0.79
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* -0.39
## In general, employees in my agency feel they are valued for their contribution* -0.39
## I feel committed to my agency’s goals* -0.96
## My agency really inspires me to do my best work every day* -0.48
## kurtosis
## I feel a strong personal attachment to my agency* 0.14
## I am proud to work in my agen* 0.82
## Change is managed well in my agency* -0.83
## Internal communication within my agency is effective* -0.65
## My workplace provides access to effective learning and development * 0.02
## I am satisfied with the opportunities for career progression in my agency* -0.98
## I would recommend my agency as a good place to work* 0.15
## My agency actively encourages ethical behaviour by all of its employees* 1.79
## My agency is committed to creating a diverse workforce * 1.51
## I believe strongly in the purpose and objectives of my agency* 1.38
## Internal communication within my agency is regular* 1.22
## My agency supports and actively promotes an inclusive workplace culture* 1.62
## I work beyond what is required in my job to help my agency achieve its objectives* 1.20
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* -0.24
## In general, employees in my agency feel they are valued for their contribution* -0.58
## I feel committed to my agency’s goals* 1.84
## My agency really inspires me to do my best work every day* -0.12
## se
## I feel a strong personal attachment to my agency* 0
## I am proud to work in my agen* 0
## Change is managed well in my agency* 0
## Internal communication within my agency is effective* 0
## My workplace provides access to effective learning and development * 0
## I am satisfied with the opportunities for career progression in my agency* 0
## I would recommend my agency as a good place to work* 0
## My agency actively encourages ethical behaviour by all of its employees* 0
## My agency is committed to creating a diverse workforce * 0
## I believe strongly in the purpose and objectives of my agency* 0
## Internal communication within my agency is regular* 0
## My agency supports and actively promotes an inclusive workplace culture* 0
## I work beyond what is required in my job to help my agency achieve its objectives* 0
## When someone praises the accomplishments of my agency, it feels like a personal compliment to me* 0
## In general, employees in my agency feel they are valued for their contribution* 0
## I feel committed to my agency’s goals* 0
## My agency really inspires me to do my best work every day* 0
# Descriptive statistics step 2
#scale 6: team_performance_support analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
team_performance_support_likert <- likert(team_performance_support_df)
summary(team_performance_support_likert)
## Item
## 4 The people in my workgroup complete work to a high standard
## 3 The work processes we have in place allow me to be as productive as possible
## 1 My workgroup has the appropriate skills, capabilities, and knowledge to perform well
## 2 My workgroup has the tools and resources we need to perform well
## low neutral high mean sd
## 4 5.777647 13.72485 80.49751 3.968307 0.8296365
## 3 6.652977 14.19771 79.14931 3.943092 0.8388534
## 1 21.892637 16.32972 61.77765 3.481737 1.0520228
## 2 26.667058 20.52801 52.80493 3.299149 1.0900622
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(team_performance_support_likert, type="bar")
# bar plot ordered by question (not centered)
plot(team_performance_support_likert, group.order = names(team_performance_support_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(team_performance_support_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(team_performance_support_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(team_performance_support_df)
## vars
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 1
## My workgroup has the tools and resources we need to perform well* 2
## The work processes we have in place allow me to be as productive as possible* 3
## The people in my workgroup complete work to a high standard* 4
## n
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 85225
## My workgroup has the tools and resources we need to perform well* 85225
## The work processes we have in place allow me to be as productive as possible* 85225
## The people in my workgroup complete work to a high standard* 85225
## mean
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 3.48
## My workgroup has the tools and resources we need to perform well* 3.30
## The work processes we have in place allow me to be as productive as possible* 3.94
## The people in my workgroup complete work to a high standard* 3.97
## sd
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 1.05
## My workgroup has the tools and resources we need to perform well* 1.09
## The work processes we have in place allow me to be as productive as possible* 0.84
## The people in my workgroup complete work to a high standard* 0.83
## median
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 4
## My workgroup has the tools and resources we need to perform well* 4
## The work processes we have in place allow me to be as productive as possible* 4
## The people in my workgroup complete work to a high standard* 4
## trimmed
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 3.53
## My workgroup has the tools and resources we need to perform well* 3.33
## The work processes we have in place allow me to be as productive as possible* 4.03
## The people in my workgroup complete work to a high standard* 4.05
## mad
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 1.48
## My workgroup has the tools and resources we need to perform well* 1.48
## The work processes we have in place allow me to be as productive as possible* 0.00
## The people in my workgroup complete work to a high standard* 0.00
## min
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 1
## My workgroup has the tools and resources we need to perform well* 1
## The work processes we have in place allow me to be as productive as possible* 1
## The people in my workgroup complete work to a high standard* 1
## max
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 5
## My workgroup has the tools and resources we need to perform well* 5
## The work processes we have in place allow me to be as productive as possible* 5
## The people in my workgroup complete work to a high standard* 5
## range
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 4
## My workgroup has the tools and resources we need to perform well* 4
## The work processes we have in place allow me to be as productive as possible* 4
## The people in my workgroup complete work to a high standard* 4
## skew
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* -0.63
## My workgroup has the tools and resources we need to perform well* -0.44
## The work processes we have in place allow me to be as productive as possible* -0.98
## The people in my workgroup complete work to a high standard* -1.07
## kurtosis
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* -0.42
## My workgroup has the tools and resources we need to perform well* -0.70
## The work processes we have in place allow me to be as productive as possible* 1.38
## The people in my workgroup complete work to a high standard* 1.85
## se
## My workgroup has the appropriate skills, capabilities, and knowledge to perform well* 0
## My workgroup has the tools and resources we need to perform well* 0
## The work processes we have in place allow me to be as productive as possible* 0
## The people in my workgroup complete work to a high standard* 0
# Descriptive statistics step 2
#scale 7: risk_culture analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
risk_culture_likert <- likert(risk_culture_df)
summary(risk_culture_likert)
## Item
## 1 My agency supports employees to escalate risk-related issues with managers
## 2 Risk management concerns are discussed openly and honestly in my agency
## 3 My agency provides me with opportunities to develop and enhance my skills to manage risk effectively
## 5 Appropriate risk taking is rewarded in my agency
## 4 Employees in my agency are encouraged to consider opportunities when managing risk
## low neutral high mean sd
## 1 6.647111 21.47023 71.88266 3.781109 0.8124453
## 2 10.655324 26.11206 63.23262 3.628290 0.8869735
## 3 10.611910 35.50484 53.88325 3.494151 0.8428955
## 5 16.310942 51.20211 32.48695 3.172356 0.8452860
## 4 22.337342 49.02200 28.64066 3.052097 0.8971876
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(risk_culture_likert, type="bar")
# bar plot ordered by question (not centered)
plot(risk_culture_likert, group.order = names(risk_culture_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(risk_culture_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(risk_culture_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(risk_culture_df)
## vars
## My agency supports employees to escalate risk-related issues with managers* 1
## Risk management concerns are discussed openly and honestly in my agency* 2
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 3
## Employees in my agency are encouraged to consider opportunities when managing risk* 4
## Appropriate risk taking is rewarded in my agency* 5
## n
## My agency supports employees to escalate risk-related issues with managers* 85225
## Risk management concerns are discussed openly and honestly in my agency* 85225
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 85225
## Employees in my agency are encouraged to consider opportunities when managing risk* 85225
## Appropriate risk taking is rewarded in my agency* 85225
## mean
## My agency supports employees to escalate risk-related issues with managers* 3.78
## Risk management concerns are discussed openly and honestly in my agency* 3.63
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 3.49
## Employees in my agency are encouraged to consider opportunities when managing risk* 3.05
## Appropriate risk taking is rewarded in my agency* 3.17
## sd
## My agency supports employees to escalate risk-related issues with managers* 0.81
## Risk management concerns are discussed openly and honestly in my agency* 0.89
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 0.84
## Employees in my agency are encouraged to consider opportunities when managing risk* 0.90
## Appropriate risk taking is rewarded in my agency* 0.85
## median
## My agency supports employees to escalate risk-related issues with managers* 4
## Risk management concerns are discussed openly and honestly in my agency* 4
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 4
## Employees in my agency are encouraged to consider opportunities when managing risk* 3
## Appropriate risk taking is rewarded in my agency* 3
## trimmed
## My agency supports employees to escalate risk-related issues with managers* 3.83
## Risk management concerns are discussed openly and honestly in my agency* 3.69
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 3.54
## Employees in my agency are encouraged to consider opportunities when managing risk* 3.08
## Appropriate risk taking is rewarded in my agency* 3.20
## mad
## My agency supports employees to escalate risk-related issues with managers* 0.00
## Risk management concerns are discussed openly and honestly in my agency* 0.00
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 1.48
## Employees in my agency are encouraged to consider opportunities when managing risk* 1.48
## Appropriate risk taking is rewarded in my agency* 0.00
## min
## My agency supports employees to escalate risk-related issues with managers* 1
## Risk management concerns are discussed openly and honestly in my agency* 1
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 1
## Employees in my agency are encouraged to consider opportunities when managing risk* 1
## Appropriate risk taking is rewarded in my agency* 1
## max
## My agency supports employees to escalate risk-related issues with managers* 5
## Risk management concerns are discussed openly and honestly in my agency* 5
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 5
## Employees in my agency are encouraged to consider opportunities when managing risk* 5
## Appropriate risk taking is rewarded in my agency* 5
## range
## My agency supports employees to escalate risk-related issues with managers* 4
## Risk management concerns are discussed openly and honestly in my agency* 4
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 4
## Employees in my agency are encouraged to consider opportunities when managing risk* 4
## Appropriate risk taking is rewarded in my agency* 4
## skew
## My agency supports employees to escalate risk-related issues with managers* -0.88
## Risk management concerns are discussed openly and honestly in my agency* -0.70
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* -0.52
## Employees in my agency are encouraged to consider opportunities when managing risk* -0.19
## Appropriate risk taking is rewarded in my agency* -0.23
## kurtosis
## My agency supports employees to escalate risk-related issues with managers* 1.33
## Risk management concerns are discussed openly and honestly in my agency* 0.49
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 0.38
## Employees in my agency are encouraged to consider opportunities when managing risk* 0.11
## Appropriate risk taking is rewarded in my agency* 0.40
## se
## My agency supports employees to escalate risk-related issues with managers* 0
## Risk management concerns are discussed openly and honestly in my agency* 0
## My agency provides me with opportunities to develop and enhance my skills to manage risk effectively* 0
## Employees in my agency are encouraged to consider opportunities when managing risk* 0
## Appropriate risk taking is rewarded in my agency* 0
# Descriptive statistics step 2
#scale 8: innovation analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
innovation_likert <- likert(innovation_df)
summary(innovation_likert)
## Item
## 1 I believe that one of my responsibilities is to continually look for new ways to improve the way we work
## 2 My immediate supervisor encourages me to come up with new or better ways of doing things
## 3 People are recognised for coming up with new and innovative ways of working
## 4 My agency inspires me to come up with new or better ways of doing things
## 5 My agency recognises and supports the notion that failure is a part of innovation
## low neutral high mean sd
## 1 4.430625 11.29363 84.27574 4.058915 0.7720688
## 2 9.707246 20.29569 69.99707 3.776873 0.9296263
## 3 14.126137 27.76415 58.10971 3.534116 0.9620672
## 4 18.823115 35.14931 46.02757 3.327204 0.9851853
## 5 23.940158 40.22763 35.83221 3.117606 1.0011154
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(innovation_likert, type="bar")
# bar plot ordered by question (not centered)
plot(innovation_likert, group.order = names(innovation_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(innovation_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(innovation_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(innovation_df)
## vars
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 1
## My immediate supervisor encourages me to come up with new or better ways of doing things* 2
## People are recognised for coming up with new and innovative ways of working* 3
## My agency inspires me to come up with new or better ways of doing things* 4
## My agency recognises and supports the notion that failure is a part of innovation* 5
## n
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 85225
## My immediate supervisor encourages me to come up with new or better ways of doing things* 85225
## People are recognised for coming up with new and innovative ways of working* 85225
## My agency inspires me to come up with new or better ways of doing things* 85225
## My agency recognises and supports the notion that failure is a part of innovation* 85225
## mean
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 4.06
## My immediate supervisor encourages me to come up with new or better ways of doing things* 3.78
## People are recognised for coming up with new and innovative ways of working* 3.53
## My agency inspires me to come up with new or better ways of doing things* 3.33
## My agency recognises and supports the notion that failure is a part of innovation* 3.12
## sd
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 0.77
## My immediate supervisor encourages me to come up with new or better ways of doing things* 0.93
## People are recognised for coming up with new and innovative ways of working* 0.96
## My agency inspires me to come up with new or better ways of doing things* 0.99
## My agency recognises and supports the notion that failure is a part of innovation* 1.00
## median
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 4
## My immediate supervisor encourages me to come up with new or better ways of doing things* 4
## People are recognised for coming up with new and innovative ways of working* 4
## My agency inspires me to come up with new or better ways of doing things* 3
## My agency recognises and supports the notion that failure is a part of innovation* 3
## trimmed
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 4.14
## My immediate supervisor encourages me to come up with new or better ways of doing things* 3.87
## People are recognised for coming up with new and innovative ways of working* 3.59
## My agency inspires me to come up with new or better ways of doing things* 3.34
## My agency recognises and supports the notion that failure is a part of innovation* 3.15
## mad
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 0.00
## My immediate supervisor encourages me to come up with new or better ways of doing things* 0.00
## People are recognised for coming up with new and innovative ways of working* 1.48
## My agency inspires me to come up with new or better ways of doing things* 1.48
## My agency recognises and supports the notion that failure is a part of innovation* 1.48
## min
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 1
## My immediate supervisor encourages me to come up with new or better ways of doing things* 1
## People are recognised for coming up with new and innovative ways of working* 1
## My agency inspires me to come up with new or better ways of doing things* 1
## My agency recognises and supports the notion that failure is a part of innovation* 1
## max
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 5
## My immediate supervisor encourages me to come up with new or better ways of doing things* 5
## People are recognised for coming up with new and innovative ways of working* 5
## My agency inspires me to come up with new or better ways of doing things* 5
## My agency recognises and supports the notion that failure is a part of innovation* 5
## range
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 4
## My immediate supervisor encourages me to come up with new or better ways of doing things* 4
## People are recognised for coming up with new and innovative ways of working* 4
## My agency inspires me to come up with new or better ways of doing things* 4
## My agency recognises and supports the notion that failure is a part of innovation* 4
## skew
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* -1.00
## My immediate supervisor encourages me to come up with new or better ways of doing things* -0.82
## People are recognised for coming up with new and innovative ways of working* -0.60
## My agency inspires me to come up with new or better ways of doing things* -0.34
## My agency recognises and supports the notion that failure is a part of innovation* -0.24
## kurtosis
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 1.83
## My immediate supervisor encourages me to come up with new or better ways of doing things* 0.63
## People are recognised for coming up with new and innovative ways of working* 0.09
## My agency inspires me to come up with new or better ways of doing things* -0.25
## My agency recognises and supports the notion that failure is a part of innovation* -0.29
## se
## I believe that one of my responsibilities is to continually look for new ways to improve the way we work* 0
## My immediate supervisor encourages me to come up with new or better ways of doing things* 0
## People are recognised for coming up with new and innovative ways of working* 0
## My agency inspires me to come up with new or better ways of doing things* 0
## My agency recognises and supports the notion that failure is a part of innovation* 0
# Descriptive statistics step 2
#scale 9: leadership_engagement analysis
str(leadership_engagement_df)
## 'data.frame': 85225 obs. of 7 variables:
## $ In my agency, the SES are sufficiently visible (e.g. can be seen in action) : Factor w/ 6 levels "1","2","3","4",..: 4 3 4 3 4 4 4 4 1 3 ...
## $ In myagency, communication between the SES and other employees is effective : Factor w/ 6 levels "1","2","3","4",..: 3 4 2 3 4 5 3 4 1 3 ...
## $ In my agency, the SES actively contribute to the work of our agency : Factor w/ 6 levels "1","2","3","4",..: 4 4 3 3 4 4 4 4 1 3 ...
## $ In my agency, the SES are of a high quality : Factor w/ 6 levels "1","2","3","4",..: 3 4 2 3 4 5 4 4 3 3 ...
## $ In my agency, the SES supports and provides opportunities for new ways of working in a digital environment: Factor w/ 6 levels "1","2","3","4",..: 4 4 2 3 4 4 3 4 3 3 ...
## $ In my agency, the SES work as a team : Factor w/ 6 levels "1","2","3","4",..: 3 3 4 3 3 4 2 4 3 3 ...
## $ In my agency, the SES clearly articulate the direction and priorities for our agency : Factor w/ 6 levels "1","2","3","4",..: 3 4 1 3 4 4 4 4 1 3 ...
leadership_engagement_df <- droplevels(leadership_engagement_df)
str(leadership_engagement_df)
## 'data.frame': 85225 obs. of 7 variables:
## $ In my agency, the SES are sufficiently visible (e.g. can be seen in action) : Factor w/ 5 levels "1","2","3","4",..: 4 3 4 3 4 4 4 4 1 3 ...
## $ In myagency, communication between the SES and other employees is effective : Factor w/ 5 levels "1","2","3","4",..: 3 4 2 3 4 5 3 4 1 3 ...
## $ In my agency, the SES actively contribute to the work of our agency : Factor w/ 5 levels "1","2","3","4",..: 4 4 3 3 4 4 4 4 1 3 ...
## $ In my agency, the SES are of a high quality : Factor w/ 5 levels "1","2","3","4",..: 3 4 2 3 4 5 4 4 3 3 ...
## $ In my agency, the SES supports and provides opportunities for new ways of working in a digital environment: Factor w/ 5 levels "1","2","3","4",..: 4 4 2 3 4 4 3 4 3 3 ...
## $ In my agency, the SES work as a team : Factor w/ 5 levels "1","2","3","4",..: 3 3 4 3 3 4 2 4 3 3 ...
## $ In my agency, the SES clearly articulate the direction and priorities for our agency : Factor w/ 5 levels "1","2","3","4",..: 3 4 1 3 4 4 4 4 1 3 ...
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
leadership_engagement_likert <- likert(leadership_engagement_df)
summary(leadership_engagement_likert)
## Item
## 3 In my agency, the SES actively contribute to the work of our agency
## 7 In my agency, the SES clearly articulate the direction and priorities for our agency
## 1 In my agency, the SES are sufficiently visible (e.g. can be seen in action)
## 4 In my agency, the SES are of a high quality
## 5 In my agency, the SES supports and provides opportunities for new ways of working in a digital environment
## 2 In myagency, communication between the SES and other employees is effective
## 6 In my agency, the SES work as a team
## low neutral high mean sd
## 3 11.33236 29.88560 58.78205 3.548912 0.9513805
## 7 14.43943 30.84306 54.71751 3.457554 0.9898261
## 1 21.83162 25.30126 52.86712 3.342364 1.0763718
## 4 13.73541 34.67762 51.58698 3.443731 0.9989693
## 5 14.06043 35.17160 50.76797 3.418046 0.9784345
## 2 22.49223 31.57524 45.93253 3.239097 1.0502093
## 6 15.70197 43.42974 40.86829 3.277137 0.9714628
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(leadership_engagement_likert, type="bar")
# bar plot ordered by question (not centered)
plot(leadership_engagement_likert, group.order = names(leadership_engagement_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(leadership_engagement_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(leadership_engagement_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(leadership_engagement_df)
## vars
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 1
## In myagency, communication between the SES and other employees is effective* 2
## In my agency, the SES actively contribute to the work of our agency* 3
## In my agency, the SES are of a high quality* 4
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 5
## In my agency, the SES work as a team* 6
## In my agency, the SES clearly articulate the direction and priorities for our agency* 7
## n
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 85225
## In myagency, communication between the SES and other employees is effective* 85225
## In my agency, the SES actively contribute to the work of our agency* 85225
## In my agency, the SES are of a high quality* 85225
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 85225
## In my agency, the SES work as a team* 85225
## In my agency, the SES clearly articulate the direction and priorities for our agency* 85225
## mean
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 3.34
## In myagency, communication between the SES and other employees is effective* 3.24
## In my agency, the SES actively contribute to the work of our agency* 3.55
## In my agency, the SES are of a high quality* 3.44
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 3.42
## In my agency, the SES work as a team* 3.28
## In my agency, the SES clearly articulate the direction and priorities for our agency* 3.46
## sd
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 1.08
## In myagency, communication between the SES and other employees is effective* 1.05
## In my agency, the SES actively contribute to the work of our agency* 0.95
## In my agency, the SES are of a high quality* 1.00
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 0.98
## In my agency, the SES work as a team* 0.97
## In my agency, the SES clearly articulate the direction and priorities for our agency* 0.99
## median
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 4
## In myagency, communication between the SES and other employees is effective* 3
## In my agency, the SES actively contribute to the work of our agency* 4
## In my agency, the SES are of a high quality* 4
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 4
## In my agency, the SES work as a team* 3
## In my agency, the SES clearly articulate the direction and priorities for our agency* 4
## trimmed
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 3.39
## In myagency, communication between the SES and other employees is effective* 3.29
## In my agency, the SES actively contribute to the work of our agency* 3.62
## In my agency, the SES are of a high quality* 3.50
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 3.47
## In my agency, the SES work as a team* 3.31
## In my agency, the SES clearly articulate the direction and priorities for our agency* 3.52
## mad
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 1.48
## In myagency, communication between the SES and other employees is effective* 1.48
## In my agency, the SES actively contribute to the work of our agency* 1.48
## In my agency, the SES are of a high quality* 1.48
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 1.48
## In my agency, the SES work as a team* 1.48
## In my agency, the SES clearly articulate the direction and priorities for our agency* 1.48
## min
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 1
## In myagency, communication between the SES and other employees is effective* 1
## In my agency, the SES actively contribute to the work of our agency* 1
## In my agency, the SES are of a high quality* 1
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 1
## In my agency, the SES work as a team* 1
## In my agency, the SES clearly articulate the direction and priorities for our agency* 1
## max
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 5
## In myagency, communication between the SES and other employees is effective* 5
## In my agency, the SES actively contribute to the work of our agency* 5
## In my agency, the SES are of a high quality* 5
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 5
## In my agency, the SES work as a team* 5
## In my agency, the SES clearly articulate the direction and priorities for our agency* 5
## range
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 4
## In myagency, communication between the SES and other employees is effective* 4
## In my agency, the SES actively contribute to the work of our agency* 4
## In my agency, the SES are of a high quality* 4
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 4
## In my agency, the SES work as a team* 4
## In my agency, the SES clearly articulate the direction and priorities for our agency* 4
## skew
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* -0.56
## In myagency, communication between the SES and other employees is effective* -0.46
## In my agency, the SES actively contribute to the work of our agency* -0.77
## In my agency, the SES are of a high quality* -0.58
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* -0.59
## In my agency, the SES work as a team* -0.41
## In my agency, the SES clearly articulate the direction and priorities for our agency* -0.67
## kurtosis
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* -0.38
## In myagency, communication between the SES and other employees is effective* -0.37
## In my agency, the SES actively contribute to the work of our agency* 0.60
## In my agency, the SES are of a high quality* 0.19
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 0.22
## In my agency, the SES work as a team* 0.16
## In my agency, the SES clearly articulate the direction and priorities for our agency* 0.23
## se
## In my agency, the SES are sufficiently visible (e.g. can be seen in action)* 0
## In myagency, communication between the SES and other employees is effective* 0
## In my agency, the SES actively contribute to the work of our agency* 0
## In my agency, the SES are of a high quality* 0
## In my agency, the SES supports and provides opportunities for new ways of working in a digital environment* 0
## In my agency, the SES work as a team* 0
## In my agency, the SES clearly articulate the direction and priorities for our agency* 0
# Descriptive statistics step 2
#scale 10: wellbeing analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
wellbeing_likert <- likert(wellbeing_df)
summary(wellbeing_likert)
## Item
## 13 I believe my immediate supervisor cares about my health and wellbeing
## 7 I am clear what my duties and responsibilities are
## 5 I receive the respect I deserve from my colleagues at work
## 1 Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?
## 4 My immediate supervisor encourages me
## 9 I am satisfied with the policies/practices in place to help me manage my health and wellbeing
## 10 My agency does a good job of communicating what it can offer me in terms of health and wellbeing
## 3 I have a choice in deciding how I do my work
## 11 My agency does a good job of promoting health and wellbeing
## 12 I think my agency cares about my health and wellbeing
## 6 Relationships at work are strained
## 8 Staff are consulted about change at work
## 2 I have unrealistic time pressures
## low neutral high mean sd
## 13 6.033441 11.87562 82.09094 4.076011 0.8940756
## 7 4.401291 14.15430 81.44441 4.101813 0.8294821
## 5 4.938692 18.38897 76.67234 4.007944 0.8541951
## 1 11.994133 13.60516 74.40070 3.818469 0.9682157
## 4 9.174538 19.35817 71.46729 3.940780 1.0069581
## 9 9.843356 20.68407 69.47257 3.703866 0.8756471
## 10 14.752713 25.03960 60.20769 3.540780 0.9439027
## 3 15.511880 24.31329 60.17483 3.539361 1.0080301
## 11 14.871223 26.55793 58.57084 3.523802 0.9527954
## 12 17.237900 26.66236 56.09974 3.452942 1.0199682
## 6 12.252273 34.87240 52.87533 3.470719 0.8949910
## 8 19.004987 34.21179 46.78322 3.354344 1.0190626
## 2 26.973306 43.63274 29.39396 2.994086 0.9336441
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(wellbeing_likert, type="bar")
# bar plot ordered by question (not centered)
plot(wellbeing_likert, group.order = names(wellbeing_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(wellbeing_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(wellbeing_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(wellbeing_df)
## vars
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 1
## I have unrealistic time pressures* 2
## I have a choice in deciding how I do my work* 3
## My immediate supervisor encourages me* 4
## I receive the respect I deserve from my colleagues at work* 5
## Relationships at work are strained* 6
## I am clear what my duties and responsibilities are* 7
## Staff are consulted about change at work* 8
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 9
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 10
## My agency does a good job of promoting health and wellbeing* 11
## I think my agency cares about my health and wellbeing* 12
## I believe my immediate supervisor cares about my health and wellbeing* 13
## n
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 85225
## I have unrealistic time pressures* 85225
## I have a choice in deciding how I do my work* 85225
## My immediate supervisor encourages me* 85225
## I receive the respect I deserve from my colleagues at work* 85225
## Relationships at work are strained* 85225
## I am clear what my duties and responsibilities are* 85225
## Staff are consulted about change at work* 85225
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 85225
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 85225
## My agency does a good job of promoting health and wellbeing* 85225
## I think my agency cares about my health and wellbeing* 85225
## I believe my immediate supervisor cares about my health and wellbeing* 85225
## mean
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 3.82
## I have unrealistic time pressures* 2.99
## I have a choice in deciding how I do my work* 3.54
## My immediate supervisor encourages me* 3.94
## I receive the respect I deserve from my colleagues at work* 4.01
## Relationships at work are strained* 3.47
## I am clear what my duties and responsibilities are* 4.10
## Staff are consulted about change at work* 3.35
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 3.70
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 3.54
## My agency does a good job of promoting health and wellbeing* 3.52
## I think my agency cares about my health and wellbeing* 3.45
## I believe my immediate supervisor cares about my health and wellbeing* 4.08
## sd
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 0.97
## I have unrealistic time pressures* 0.93
## I have a choice in deciding how I do my work* 1.01
## My immediate supervisor encourages me* 1.01
## I receive the respect I deserve from my colleagues at work* 0.85
## Relationships at work are strained* 0.89
## I am clear what my duties and responsibilities are* 0.83
## Staff are consulted about change at work* 1.02
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 0.88
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 0.94
## My agency does a good job of promoting health and wellbeing* 0.95
## I think my agency cares about my health and wellbeing* 1.02
## I believe my immediate supervisor cares about my health and wellbeing* 0.89
## median
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 4
## I have unrealistic time pressures* 3
## I have a choice in deciding how I do my work* 4
## My immediate supervisor encourages me* 4
## I receive the respect I deserve from my colleagues at work* 4
## Relationships at work are strained* 4
## I am clear what my duties and responsibilities are* 4
## Staff are consulted about change at work* 3
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 4
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 4
## My agency does a good job of promoting health and wellbeing* 4
## I think my agency cares about my health and wellbeing* 4
## I believe my immediate supervisor cares about my health and wellbeing* 4
## trimmed
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 3.93
## I have unrealistic time pressures* 3.03
## I have a choice in deciding how I do my work* 3.61
## My immediate supervisor encourages me* 4.07
## I receive the respect I deserve from my colleagues at work* 4.08
## Relationships at work are strained* 3.51
## I am clear what my duties and responsibilities are* 4.19
## Staff are consulted about change at work* 3.38
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 3.78
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 3.59
## My agency does a good job of promoting health and wellbeing* 3.57
## I think my agency cares about my health and wellbeing* 3.51
## I believe my immediate supervisor cares about my health and wellbeing* 4.20
## mad
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 0.00
## I have unrealistic time pressures* 1.48
## I have a choice in deciding how I do my work* 1.48
## My immediate supervisor encourages me* 1.48
## I receive the respect I deserve from my colleagues at work* 1.48
## Relationships at work are strained* 1.48
## I am clear what my duties and responsibilities are* 1.48
## Staff are consulted about change at work* 1.48
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 0.00
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 1.48
## My agency does a good job of promoting health and wellbeing* 1.48
## I think my agency cares about my health and wellbeing* 1.48
## I believe my immediate supervisor cares about my health and wellbeing* 1.48
## min
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 1
## I have unrealistic time pressures* 1
## I have a choice in deciding how I do my work* 1
## My immediate supervisor encourages me* 1
## I receive the respect I deserve from my colleagues at work* 1
## Relationships at work are strained* 1
## I am clear what my duties and responsibilities are* 1
## Staff are consulted about change at work* 1
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 1
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 1
## My agency does a good job of promoting health and wellbeing* 1
## I think my agency cares about my health and wellbeing* 1
## I believe my immediate supervisor cares about my health and wellbeing* 1
## max
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 5
## I have unrealistic time pressures* 5
## I have a choice in deciding how I do my work* 5
## My immediate supervisor encourages me* 5
## I receive the respect I deserve from my colleagues at work* 5
## Relationships at work are strained* 5
## I am clear what my duties and responsibilities are* 5
## Staff are consulted about change at work* 5
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 5
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 5
## My agency does a good job of promoting health and wellbeing* 5
## I think my agency cares about my health and wellbeing* 5
## I believe my immediate supervisor cares about my health and wellbeing* 5
## range
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 4
## I have unrealistic time pressures* 4
## I have a choice in deciding how I do my work* 4
## My immediate supervisor encourages me* 4
## I receive the respect I deserve from my colleagues at work* 4
## Relationships at work are strained* 4
## I am clear what my duties and responsibilities are* 4
## Staff are consulted about change at work* 4
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 4
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 4
## My agency does a good job of promoting health and wellbeing* 4
## I think my agency cares about my health and wellbeing* 4
## I believe my immediate supervisor cares about my health and wellbeing* 4
## skew
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* -0.95
## I have unrealistic time pressures* -0.21
## I have a choice in deciding how I do my work* -0.69
## My immediate supervisor encourages me* -0.83
## I receive the respect I deserve from my colleagues at work* -0.77
## Relationships at work are strained* -0.53
## I am clear what my duties and responsibilities are* -0.91
## Staff are consulted about change at work* -0.32
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* -0.92
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* -0.65
## My agency does a good job of promoting health and wellbeing* -0.61
## I think my agency cares about my health and wellbeing* -0.63
## I believe my immediate supervisor cares about my health and wellbeing* -1.20
## kurtosis
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 0.64
## I have unrealistic time pressures* -0.24
## I have a choice in deciding how I do my work* 0.07
## My immediate supervisor encourages me* 0.20
## I receive the respect I deserve from my colleagues at work* 0.59
## Relationships at work are strained* 0.28
## I am clear what my duties and responsibilities are* 0.99
## Staff are consulted about change at work* -0.34
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 1.01
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 0.09
## My agency does a good job of promoting health and wellbeing* 0.04
## I think my agency cares about my health and wellbeing* -0.06
## I believe my immediate supervisor cares about my health and wellbeing* 1.79
## se
## Considering your work and life priorities, how satisfied are you with the work-life balance in your current job?* 0
## I have unrealistic time pressures* 0
## I have a choice in deciding how I do my work* 0
## My immediate supervisor encourages me* 0
## I receive the respect I deserve from my colleagues at work* 0
## Relationships at work are strained* 0
## I am clear what my duties and responsibilities are* 0
## Staff are consulted about change at work* 0
## I am satisfied with the policies/practices in place to help me manage my health and wellbeing* 0
## My agency does a good job of communicating what it can offer me in terms of health and wellbeing* 0
## My agency does a good job of promoting health and wellbeing* 0
## I think my agency cares about my health and wellbeing* 0
## I believe my immediate supervisor cares about my health and wellbeing* 0
# Descriptive statistics step 2
#scale 11: values analysis
str(values_df)
## 'data.frame': 85225 obs. of 3 variables:
## $ Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?: Factor w/ 6 levels "1","2","3","4",..: 5 5 3 5 5 5 5 4 4 3 ...
## $ Does your supervisor act in accordance with the APS Values in his or her everyday work? : Factor w/ 6 levels "1","2","3","4",..: 5 5 4 5 5 5 5 5 4 4 ...
## $ Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values? : Factor w/ 6 levels "1","2","3","4",..: 5 5 3 3 5 5 4 4 4 3 ...
values_df <- droplevels(values_df)
str(values_df)
## 'data.frame': 85225 obs. of 3 variables:
## $ Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?: Factor w/ 5 levels "1","2","3","4",..: 5 5 3 5 5 5 5 4 4 3 ...
## $ Does your supervisor act in accordance with the APS Values in his or her everyday work? : Factor w/ 5 levels "1","2","3","4",..: 5 5 4 5 5 5 5 5 4 4 ...
## $ Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values? : Factor w/ 5 levels "1","2","3","4",..: 5 5 3 3 5 5 4 4 4 3 ...
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
values_likert <- likert(values_df)
summary(values_likert)
## Item
## 2 Does your supervisor act in accordance with the APS Values in his or her everyday work?
## 1 Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?
## 3 Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?
## low neutral high mean sd
## 2 1.565268 7.575242 90.85949 4.492930 0.7174030
## 1 1.412731 8.643004 89.94427 4.363074 0.7082541
## 3 3.391024 23.584629 73.02435 4.090408 0.8934769
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(values_likert, type="bar")
# bar plot ordered by question (not centered)
plot(values_likert, group.order = names(values_df), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(values_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(values_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(values_df)
## vars
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 1
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 2
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 3
## n
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 85225
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 85225
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 85225
## mean
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 4.36
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 4.49
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 4.09
## sd
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 0.71
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 0.72
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 0.89
## median
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 4
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 5
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 4
## trimmed
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 4.47
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 4.63
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 4.16
## mad
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 1.48
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 0.00
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 1.48
## min
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 1
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 1
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 1
## max
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 5
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 5
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 5
## range
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 4
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 4
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 4
## skew
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* -1.00
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* -1.46
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* -0.64
## kurtosis
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 1.10
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 2.26
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* -0.26
## se
## Do colleagues in your immediate workgroup act in accordance with the APS Values in their everyday work?* 0
## Does your supervisor act in accordance with the APS Values in his or her everyday work?* 0
## Do senior leaders (i.e. the SES) in your agency act in accordance with the APS Values?* 0
# Descriptive statistics step 2
# org size analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
org_size <- data.frame(aps_reduced$org_size)
org_size_likert <- likert(org_size)
summary(org_size_likert)
## Item low neutral high mean sd
## 1 aps_reduced.org_size 3.779407 9.647404 86.57319 2.827938 0.4669556
# density plot (treating Likert data like numeric data)
plot(org_size_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(org_size)
## Warning in psych::describe(org_size): You were trying to describe a non-numeric
## data.frame or vector which describe converted to numeric.
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 85225 2.83 0.47 3 2.96 0 1 3 2 -2.76 6.84 0
# Descriptive statistics step 2
#employee level analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
employee_level <- data.frame(aps_reduced$employee_level)
employee_level_likert <- likert(employee_level)
summary(employee_level_likert)
## Item low neutral high mean sd
## 1 aps_reduced.employee_level 2.702259 31.44852 65.84922 2.63147 0.5355038
# density plot (treating Likert data like numeric data)
plot(employee_level_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(employee_level)
## Warning in psych::describe(employee_level): You were trying to describe a non-
## numeric data.frame or vector which describe converted to numeric.
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 85225 2.63 0.54 3 2.7 0 1 3 2 -1.07 0.08 0
# Descriptive statistics step 2
# team performance rating analysis
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
team_performance_rating <- data.frame(aps_reduced$team_performance_rating)
team_performance_rating_likert <- likert(team_performance_rating)
summary(team_engagement_likert)
## Item
## 4 The people in my workgroup behave in an accepting manner towards people from diverse backgrounds
## 3 The people in my workgroup are committed to workplace safety
## 2 The people in my workgroup cooperate to get the job done
## 1 The people in my workgroup are honest, open and transparent in their dealings
## low neutral high mean sd
## 4 3.470813 7.585802 88.94339 4.201162 0.7645863
## 3 2.291581 10.806688 86.90173 4.121830 0.7093272
## 2 6.299795 9.898504 83.80170 4.059407 0.8473169
## 1 8.800235 12.463479 78.73629 3.947609 0.9250462
# density plot (treating Likert data like numeric data)
plot(team_performance_rating_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(team_performance_rating)
## Warning in psych::describe(team_performance_rating): You were trying to describe
## a non-numeric data.frame or vector which describe converted to numeric.
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 85225 7.26 1.71 8 7.4 1.48 1 10 9 -0.94 1.04 0.01
# converting all variables to numerical
# a- questions making up 11 data frames b- org_size and employee level c- dependent var
# a- converting questions making up 11 data frames to numeric
aps_reduced$job_engagement_1 <- as.numeric(aps_reduced$job_engagement_1)
aps_reduced$job_engagement_2 <- as.numeric(aps_reduced$job_engagement_2)
aps_reduced$job_engagement_3 <- as.numeric(aps_reduced$job_engagement_3)
aps_reduced$job_engagement_4 <- as.numeric(aps_reduced$job_engagement_4)
aps_reduced$job_engagement_5 <- as.numeric(aps_reduced$job_engagement_5)
aps_reduced$job_engagement_6 <- as.numeric(aps_reduced$job_engagement_6)
aps_reduced$job_engagement_7 <- as.numeric(aps_reduced$job_engagement_7)
aps_reduced$job_engagement_8 <- as.numeric(aps_reduced$job_engagement_8)
aps_reduced$job_engagement_9 <- as.numeric(aps_reduced$job_engagement_9)
aps_reduced$job_engagement_10 <- as.numeric(aps_reduced$job_engagement_10)
aps_reduced$team_engagement_1 <- as.numeric(aps_reduced$team_engagement_1)
aps_reduced$team_engagement_2 <- as.numeric(aps_reduced$team_engagement_2)
aps_reduced$team_engagement_3 <- as.numeric(aps_reduced$team_engagement_3)
aps_reduced$team_engagement_4 <- as.numeric(aps_reduced$team_engagement_4)
aps_reduced$supervisor_engagement_1 <- as.numeric(aps_reduced$supervisor_engagement_1)
aps_reduced$supervisor_engagement_2 <- as.numeric(aps_reduced$supervisor_engagement_2)
aps_reduced$supervisor_engagement_3 <- as.numeric(aps_reduced$supervisor_engagement_3)
aps_reduced$supervisor_engagement_4 <- as.numeric(aps_reduced$supervisor_engagement_4)
aps_reduced$supervisor_engagement_5 <- as.numeric(aps_reduced$supervisor_engagement_5)
aps_reduced$supervisor_engagement_6 <- as.numeric(aps_reduced$supervisor_engagement_6)
aps_reduced$supervisor_engagement_7 <- as.numeric(aps_reduced$supervisor_engagement_7)
aps_reduced$supervisor_engagement_8 <- as.numeric(aps_reduced$supervisor_engagement_8)
aps_reduced$supervisor_engagement_9 <- as.numeric(aps_reduced$supervisor_engagement_9)
aps_reduced$supervisor_engagement_10 <- as.numeric(aps_reduced$supervisor_engagement_10)
aps_reduced$supervisor_engagement_11 <- as.numeric(aps_reduced$supervisor_engagement_11)
aps_reduced$senior_manager_engagement_1 <- as.numeric(aps_reduced$senior_manager_engagement_1)
aps_reduced$senior_manager_engagement_2 <- as.numeric(aps_reduced$senior_manager_engagement_2)
aps_reduced$senior_manager_engagement_3 <- as.numeric(aps_reduced$senior_manager_engagement_3)
aps_reduced$senior_manager_engagement_4 <- as.numeric(aps_reduced$senior_manager_engagement_4)
aps_reduced$senior_manager_engagement_5 <- as.numeric(aps_reduced$senior_manager_engagement_5)
aps_reduced$senior_manager_engagement_6 <- as.numeric(aps_reduced$senior_manager_engagement_6)
aps_reduced$senior_manager_engagement_7 <- as.numeric(aps_reduced$senior_manager_engagement_7)
aps_reduced$senior_manager_engagement_8 <- as.numeric(aps_reduced$senior_manager_engagement_8)
aps_reduced$senior_manager_engagement_9 <- as.numeric(aps_reduced$senior_manager_engagement_9)
aps_reduced$senior_manager_engagement_10 <- as.numeric(aps_reduced$senior_manager_engagement_10)
aps_reduced$senior_manager_engagement_11 <- as.numeric(aps_reduced$senior_manager_engagement_11)
aps_reduced$senior_manager_engagement_12 <- as.numeric(aps_reduced$senior_manager_engagement_12)
aps_reduced$agency_engagement_1 <- as.numeric(aps_reduced$agency_engagement_1)
aps_reduced$agency_engagement_2 <- as.numeric(aps_reduced$agency_engagement_2)
aps_reduced$agency_engagement_3 <- as.numeric(aps_reduced$agency_engagement_3)
aps_reduced$agency_engagement_4 <- as.numeric(aps_reduced$agency_engagement_4)
aps_reduced$agency_engagement_5 <- as.numeric(aps_reduced$agency_engagement_5)
aps_reduced$agency_engagement_6 <- as.numeric(aps_reduced$agency_engagement_6)
aps_reduced$agency_engagement_7 <- as.numeric(aps_reduced$agency_engagement_7)
aps_reduced$agency_engagement_8 <- as.numeric(aps_reduced$agency_engagement_8)
aps_reduced$agency_engagement_9 <- as.numeric(aps_reduced$agency_engagement_9)
aps_reduced$agency_engagement_10 <- as.numeric(aps_reduced$agency_engagement_10)
aps_reduced$agency_engagement_11 <- as.numeric(aps_reduced$agency_engagement_11)
aps_reduced$agency_engagement_12 <- as.numeric(aps_reduced$agency_engagement_12)
aps_reduced$agency_engagement_13 <- as.numeric(aps_reduced$agency_engagement_13)
aps_reduced$agency_engagement_14 <- as.numeric(aps_reduced$agency_engagement_14)
aps_reduced$agency_engagement_15 <- as.numeric(aps_reduced$agency_engagement_15)
aps_reduced$agency_engagement_16 <- as.numeric(aps_reduced$agency_engagement_16)
aps_reduced$agency_engagement_17 <- as.numeric(aps_reduced$agency_engagement_17)
aps_reduced$team_performance_support_1 <- as.numeric(aps_reduced$team_performance_support_1)
aps_reduced$team_performance_support_2 <- as.numeric(aps_reduced$team_performance_support_2)
aps_reduced$team_performance_support_3 <- as.numeric(aps_reduced$team_performance_support_3)
aps_reduced$team_performance_support_4 <- as.numeric(aps_reduced$team_performance_support_4)
aps_reduced$risk_culture_1 <- as.numeric(aps_reduced$risk_culture_1)
aps_reduced$risk_culture_2 <- as.numeric(aps_reduced$risk_culture_2)
aps_reduced$risk_culture_3 <- as.numeric(aps_reduced$risk_culture_3)
aps_reduced$risk_culture_4 <- as.numeric(aps_reduced$risk_culture_4)
aps_reduced$risk_culture_5 <- as.numeric(aps_reduced$risk_culture_5)
aps_reduced$innovation_1 <- as.numeric(aps_reduced$innovation_1)
aps_reduced$innovation_2 <- as.numeric(aps_reduced$innovation_2)
aps_reduced$innovation_3 <- as.numeric(aps_reduced$innovation_3)
aps_reduced$innovation_4 <- as.numeric(aps_reduced$innovation_4)
aps_reduced$innovation_5 <- as.numeric(aps_reduced$innovation_5)
aps_reduced$leadership_engagement_1 <- as.numeric(aps_reduced$leadership_engagement_1)
aps_reduced$leadership_engagement_2 <- as.numeric(aps_reduced$leadership_engagement_2)
aps_reduced$leadership_engagement_3 <- as.numeric(aps_reduced$leadership_engagement_3)
aps_reduced$leadership_engagement_4 <- as.numeric(aps_reduced$leadership_engagement_4)
aps_reduced$leadership_engagement_5 <- as.numeric(aps_reduced$leadership_engagement_5)
aps_reduced$leadership_engagement_6 <- as.numeric(aps_reduced$leadership_engagement_6)
aps_reduced$leadership_engagement_7 <- as.numeric(aps_reduced$leadership_engagement_7)
aps_reduced$wellbeing_1 <- as.numeric(aps_reduced$wellbeing_1)
aps_reduced$wellbeing_2 <- as.numeric(aps_reduced$wellbeing_2)
aps_reduced$wellbeing_3 <- as.numeric(aps_reduced$wellbeing_3)
aps_reduced$wellbeing_4 <- as.numeric(aps_reduced$wellbeing_4)
aps_reduced$wellbeing_5 <- as.numeric(aps_reduced$wellbeing_5)
aps_reduced$wellbeing_6 <- as.numeric(aps_reduced$wellbeing_6)
aps_reduced$wellbeing_7 <- as.numeric(aps_reduced$wellbeing_7)
aps_reduced$wellbeing_8 <- as.numeric(aps_reduced$wellbeing_8)
aps_reduced$wellbeing_9 <- as.numeric(aps_reduced$wellbeing_9)
aps_reduced$wellbeing_10 <- as.numeric(aps_reduced$wellbeing_10)
aps_reduced$wellbeing_11 <- as.numeric(aps_reduced$wellbeing_11)
aps_reduced$wellbeing_12 <- as.numeric(aps_reduced$wellbeing_12)
aps_reduced$wellbeing_13 <- as.numeric(aps_reduced$wellbeing_13)
aps_reduced$values_1 <- as.numeric(aps_reduced$values_1)
aps_reduced$values_2 <- as.numeric(aps_reduced$values_2)
aps_reduced$values_3 <- as.numeric(aps_reduced$values_3)
# b- converting org_size and employee level to numeric - to perform correlation analysis
aps_reduced$org_size <- as.numeric(aps_reduced$org_size)
aps_reduced$employee_level <- as.numeric(aps_reduced$employee_level)
# c- converting dependent var (team_performance_rating) to numeric
aps_reduced$team_performance_rating <- as.numeric(aps_reduced$team_performance_rating)
# checking that changes were successful
summary(aps_reduced)
## org_size employee_level job_engagement_1 job_engagement_2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:4.000 1st Qu.:3.000
## Median :3.000 Median :3.000 Median :4.000 Median :4.000
## Mean :2.828 Mean :2.631 Mean :3.921 Mean :3.757
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :3.000 Max. :3.000 Max. :5.000 Max. :5.000
## job_engagement_3 job_engagement_4 job_engagement_5 job_engagement_6
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.00 1st Qu.:4.000 1st Qu.:3.000
## Median :4.000 Median :4.00 Median :4.000 Median :4.000
## Mean :3.493 Mean :3.46 Mean :3.883 Mean :3.708
## 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.00 Max. :5.000 Max. :5.000
## job_engagement_7 job_engagement_8 job_engagement_9 job_engagement_10
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :4.041 Mean :4.258 Mean :3.697 Mean :4.007
## 3rd Qu.:4.000 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## team_engagement_1 team_engagement_2 team_engagement_3 team_engagement_4
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.948 Mean :4.059 Mean :4.122 Mean :4.201
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## supervisor_engagement_1 supervisor_engagement_2 supervisor_engagement_3
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :4.216 Mean :4.238 Mean :4.238
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000
## supervisor_engagement_4 supervisor_engagement_5 supervisor_engagement_6
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :4.134 Mean :4.006 Mean :4.056
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000
## supervisor_engagement_7 supervisor_engagement_8 supervisor_engagement_9
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :4.052 Mean :4.126 Mean :4.156
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000
## supervisor_engagement_10 supervisor_engagement_11 senior_manager_engagement_1
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :3.928 Mean :4.137 Mean :3.798
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## senior_manager_engagement_2 senior_manager_engagement_3
## Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000
## Mean :3.682 Mean :3.693
## 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000
## senior_manager_engagement_4 senior_manager_engagement_5
## Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :3.000
## Mean :3.627 Mean :3.389
## 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000
## senior_manager_engagement_6 senior_manager_engagement_7
## Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000
## Mean :3.777 Mean :3.607
## 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000
## senior_manager_engagement_8 senior_manager_engagement_9
## Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000
## Mean :3.679 Mean :3.856
## 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000
## senior_manager_engagement_10 senior_manager_engagement_11
## Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000
## Mean :3.832 Mean :3.737
## 3rd Qu.:5.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000
## senior_manager_engagement_12 leadership_engagement_1 leadership_engagement_2
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :3.000
## Mean :3.668 Mean :3.342 Mean :3.239
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## leadership_engagement_3 leadership_engagement_4 leadership_engagement_5
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :3.549 Mean :3.444 Mean :3.418
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## leadership_engagement_6 leadership_engagement_7 agency_engagement_1
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :3.000 Median :4.000 Median :4.000
## Mean :3.277 Mean :3.458 Mean :3.684
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## agency_engagement_2 agency_engagement_3 agency_engagement_4
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:2.000
## Median :4.000 Median :3.000 Median :3.000
## Mean :3.857 Mean :3.008 Mean :3.188
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## agency_engagement_5 agency_engagement_6 agency_engagement_7
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:3.000
## Median :4.000 Median :3.000 Median :4.000
## Mean :3.539 Mean :3.001 Mean :3.571
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## agency_engagement_8 agency_engagement_9 agency_engagement_10
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :3.953 Mean :3.967 Mean :3.974
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000
## agency_engagement_11 agency_engagement_12 agency_engagement_13
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :3.734 Mean :3.841 Mean :3.984
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## agency_engagement_14 agency_engagement_15 agency_engagement_16
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:4.000
## Median :4.000 Median :3.000 Median :4.000
## Mean :3.426 Mean :3.165 Mean :3.886
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## agency_engagement_17 wellbeing_1 wellbeing_2 wellbeing_3
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :3.000 Median :4.000
## Mean :3.398 Mean :3.818 Mean :2.994 Mean :3.539
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## wellbeing_4 wellbeing_5 wellbeing_6 wellbeing_7
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.941 Mean :4.008 Mean :3.471 Mean :4.102
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## wellbeing_8 wellbeing_9 wellbeing_10 wellbeing_11
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :3.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.354 Mean :3.704 Mean :3.541 Mean :3.524
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## wellbeing_12 wellbeing_13 risk_culture_1 risk_culture_2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.453 Mean :4.076 Mean :3.781 Mean :3.628
## 3rd Qu.:4.000 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## risk_culture_3 risk_culture_4 risk_culture_5 innovation_1
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :3.000 Median :3.000 Median :4.000
## Mean :3.494 Mean :3.052 Mean :3.172 Mean :4.059
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## innovation_2 innovation_3 innovation_4 innovation_5
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :3.000 Median :3.000
## Mean :3.777 Mean :3.534 Mean :3.327 Mean :3.118
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## team_performance_rating team_performance_support_1 team_performance_support_2
## Min. : 1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 6.000 1st Qu.:3.000 1st Qu.:2.000
## Median : 8.000 Median :4.000 Median :4.000
## Mean : 7.259 Mean :3.482 Mean :3.299
## 3rd Qu.: 8.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :10.000 Max. :5.000 Max. :5.000
## team_performance_support_3 team_performance_support_4 values_1
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :3.943 Mean :3.968 Mean :4.363
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000
## values_2 values_3 number_skipped_questions
## Min. :1.000 Min. :1.00 Min. :0.0000
## 1st Qu.:4.000 1st Qu.:3.00 1st Qu.:0.0000
## Median :5.000 Median :4.00 Median :0.0000
## Mean :4.493 Mean :4.09 Mean :0.1654
## 3rd Qu.:5.000 3rd Qu.:5.00 3rd Qu.:0.0000
## Max. :5.000 Max. :5.00 Max. :3.0000
str(aps_reduced)
## 'data.frame': 85225 obs. of 95 variables:
## $ org_size : num 1 3 3 3 3 2 2 3 3 3 ...
## $ employee_level : num 3 3 3 3 2 2 3 2 3 3 ...
## $ job_engagement_1 : num 2 5 4 4 5 4 2 5 4 4 ...
## $ job_engagement_2 : num 2 4 5 4 4 3 2 5 3 2 ...
## $ job_engagement_3 : num 3 4 5 4 4 3 4 5 3 3 ...
## $ job_engagement_4 : num 3 4 5 4 4 5 4 5 2 3 ...
## $ job_engagement_5 : num 3 4 5 4 4 4 5 5 3 4 ...
## $ job_engagement_6 : num 2 4 4 3 4 2 5 4 1 2 ...
## $ job_engagement_7 : num 3 4 5 4 3 4 4 4 4 4 ...
## $ job_engagement_8 : num 5 4 5 4 5 4 4 5 5 4 ...
## $ job_engagement_9 : num 2 4 4 4 4 3 4 5 4 2 ...
## $ job_engagement_10 : num 3 4 5 4 5 4 4 5 4 2 ...
## $ team_engagement_1 : num 4 4 4 4 4 5 5 5 4 3 ...
## $ team_engagement_2 : num 4 4 4 4 4 5 5 4 3 2 ...
## $ team_engagement_3 : num 4 4 5 4 4 5 5 4 4 4 ...
## $ team_engagement_4 : num 4 4 4 4 4 4 5 4 4 4 ...
## $ supervisor_engagement_1 : num 5 3 5 4 5 5 5 5 4 4 ...
## $ supervisor_engagement_2 : num 5 4 5 4 5 5 5 5 3 4 ...
## $ supervisor_engagement_3 : num 5 4 5 4 5 5 5 5 3 4 ...
## $ supervisor_engagement_4 : num 3 4 5 4 5 5 5 5 1 5 ...
## $ supervisor_engagement_5 : num 4 4 5 4 5 4 5 5 2 4 ...
## $ supervisor_engagement_6 : num 3 4 5 4 5 4 5 5 2 4 ...
## $ supervisor_engagement_7 : num 3 4 5 4 5 4 5 5 2 4 ...
## $ supervisor_engagement_8 : num 4 4 5 5 5 5 5 5 4 5 ...
## $ supervisor_engagement_9 : num 4 4 4 5 3 3 5 5 5 5 ...
## $ supervisor_engagement_10 : num 3 4 4 5 4 5 5 5 1 5 ...
## $ supervisor_engagement_11 : num 4 5 5 5 5 5 5 5 1 5 ...
## $ senior_manager_engagement_1 : num 4 4 2 3 4 5 3 5 2 4 ...
## $ senior_manager_engagement_2 : num 3 4 3 3 4 3 2 5 1 4 ...
## $ senior_manager_engagement_3 : num 3 4 2 3 4 4 3 5 2 4 ...
## $ senior_manager_engagement_4 : num 3 3 3 3 4 4 2 5 1 4 ...
## $ senior_manager_engagement_5 : num 2 3 2 3 4 2 1 5 1 3 ...
## $ senior_manager_engagement_6 : num 3 4 3 3 4 4 2 5 2 4 ...
## $ senior_manager_engagement_7 : num 3 4 2 3 4 4 2 5 2 4 ...
## $ senior_manager_engagement_8 : num 3 4 3 3 4 4 2 5 1 3 ...
## $ senior_manager_engagement_9 : num 3 3 3 3 3 4 3 5 4 4 ...
## $ senior_manager_engagement_10: num 3 4 3 3 3 5 3 5 3 4 ...
## $ senior_manager_engagement_11: num 1 4 3 3 3 4 4 5 1 4 ...
## $ senior_manager_engagement_12: num 3 3 3 3 4 4 3 5 2 4 ...
## $ leadership_engagement_1 : num 4 3 4 3 4 4 4 4 1 3 ...
## $ leadership_engagement_2 : num 3 4 2 3 4 5 3 4 1 3 ...
## $ leadership_engagement_3 : num 4 4 3 3 4 4 4 4 1 3 ...
## $ leadership_engagement_4 : num 3 4 2 3 4 5 4 4 3 3 ...
## $ leadership_engagement_5 : num 4 4 2 3 4 4 3 4 3 3 ...
## $ leadership_engagement_6 : num 3 3 4 3 3 4 2 4 3 3 ...
## $ leadership_engagement_7 : num 3 4 1 3 4 4 4 4 1 3 ...
## $ agency_engagement_1 : num 2 4 4 4 4 2 4 4 5 2 ...
## $ agency_engagement_2 : num 2 4 4 4 4 3 4 5 2 2 ...
## $ agency_engagement_3 : num 4 4 2 4 3 5 3 4 1 1 ...
## $ agency_engagement_4 : num 4 4 2 4 3 4 2 4 1 2 ...
## $ agency_engagement_5 : num 3 4 3 4 4 3 4 4 2 2 ...
## $ agency_engagement_6 : num 1 4 2 2 3 2 2 4 1 2 ...
## $ agency_engagement_7 : num 2 4 3 4 4 3 4 4 1 2 ...
## $ agency_engagement_8 : num 4 4 4 4 5 5 4 4 4 4 ...
## $ agency_engagement_9 : num 4 4 5 4 4 5 4 4 4 4 ...
## $ agency_engagement_10 : num 3 4 4 4 4 4 5 4 3 4 ...
## $ agency_engagement_11 : num 4 4 4 4 3 4 4 4 1 3 ...
## $ agency_engagement_12 : num 4 4 3 4 4 4 4 4 1 4 ...
## $ agency_engagement_13 : num 3 4 3 4 3 4 4 4 5 4 ...
## $ agency_engagement_14 : num 4 4 4 4 4 3 4 4 5 2 ...
## $ agency_engagement_15 : num 3 4 3 4 4 3 4 4 1 2 ...
## $ agency_engagement_16 : num 4 4 4 4 4 3 4 4 3 4 ...
## $ agency_engagement_17 : num 3 4 2 4 3 3 3 4 1 2 ...
## $ wellbeing_1 : num 4 5 5 4 4 5 4 5 2 4 ...
## $ wellbeing_2 : num 4 4 3 4 3 4 2 4 2 4 ...
## $ wellbeing_3 : num 4 4 5 5 4 5 3 4 4 4 ...
## $ wellbeing_4 : num 1 4 5 5 4 4 4 4 1 4 ...
## $ wellbeing_5 : num 5 4 4 5 4 4 5 4 3 3 ...
## $ wellbeing_6 : num 4 3 4 4 4 4 3 4 2 3 ...
## $ wellbeing_7 : num 5 4 4 5 4 4 3 4 3 4 ...
## $ wellbeing_8 : num 4 4 3 5 3 5 2 4 2 3 ...
## $ wellbeing_9 : num 4 4 5 4 4 5 4 4 2 4 ...
## $ wellbeing_10 : num 4 4 5 4 3 5 4 4 2 4 ...
## $ wellbeing_11 : num 4 4 5 4 3 5 4 4 2 4 ...
## $ wellbeing_12 : num 4 4 4 4 3 5 4 4 1 4 ...
## $ wellbeing_13 : num 4 5 5 4 4 4 5 4 4 4 ...
## $ risk_culture_1 : num 3 5 2 4 4 4 4 4 3 4 ...
## $ risk_culture_2 : num 3 5 2 4 3 5 4 4 3 4 ...
## $ risk_culture_3 : num 3 5 3 4 3 4 3 4 2 4 ...
## $ risk_culture_4 : num 3 3 2 4 4 3 2 4 3 3 ...
## $ risk_culture_5 : num 3 4 3 4 3 4 2 4 3 3 ...
## $ innovation_1 : num 4 4 4 4 4 5 2 4 1 4 ...
## $ innovation_2 : num 1 4 4 4 4 4 4 4 3 4 ...
## $ innovation_3 : num 4 4 4 4 4 4 2 3 1 3 ...
## $ innovation_4 : num 3 5 4 4 4 4 2 3 2 3 ...
## $ innovation_5 : num 3 5 5 4 3 4 2 3 3 3 ...
## $ team_performance_rating : num 8 8 8 9 6 7 9 7 2 3 ...
## $ team_performance_support_1 : num 2 4 3 4 4 4 2 4 2 2 ...
## $ team_performance_support_2 : num 2 5 3 4 3 4 1 4 5 1 ...
## $ team_performance_support_3 : num 5 4 3 4 4 3 5 4 4 2 ...
## $ team_performance_support_4 : num 4 5 4 4 4 4 4 4 3 4 ...
## $ values_1 : num 5 5 3 5 5 5 5 4 4 3 ...
## $ values_2 : num 5 5 4 5 5 5 5 5 4 4 ...
## $ values_3 : num 5 5 3 3 5 5 4 4 4 3 ...
## $ number_skipped_questions : num 0 0 0 0 1 1 0 0 0 0 ...
# developing the scales - using the 11 data frames created earlier
job_engagement_df <- data.frame(aps_reduced$job_engagement_1, aps_reduced$job_engagement_2, aps_reduced$job_engagement_3, aps_reduced$job_engagement_4, aps_reduced$job_engagement_5, aps_reduced$job_engagement_6, aps_reduced$job_engagement_7, aps_reduced$job_engagement_8, aps_reduced$job_engagement_9, aps_reduced$job_engagement_10)
job_engagement <- rowMeans(job_engagement_df)
summary(job_engagement)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.500 3.900 3.822 4.200 5.000
team_engagement_df <- data.frame(aps_reduced$team_engagement_1, aps_reduced$team_engagement_2, aps_reduced$team_engagement_3, aps_reduced$team_engagement_4)
team_engagement <- rowMeans(team_engagement_df)
summary(team_engagement)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.750 4.000 4.083 4.500 5.000
supervisor_engagement_df <- data.frame(aps_reduced$supervisor_engagement_1, aps_reduced$supervisor_engagement_2, aps_reduced$supervisor_engagement_3, aps_reduced$supervisor_engagement_4, aps_reduced$supervisor_engagement_5, aps_reduced$supervisor_engagement_6, aps_reduced$supervisor_engagement_7, aps_reduced$supervisor_engagement_8, aps_reduced$supervisor_engagement_9, aps_reduced$supervisor_engagement_10, aps_reduced$supervisor_engagement_11)
supervisor_engagement <- rowMeans(supervisor_engagement_df)
summary(supervisor_engagement)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.818 4.000 4.117 4.818 5.000
senior_manager_engagement_df <- data.frame(aps_reduced$senior_manager_engagement_1, aps_reduced$senior_manager_engagement_2, aps_reduced$senior_manager_engagement_3, aps_reduced$senior_manager_engagement_4, aps_reduced$senior_manager_engagement_5, aps_reduced$senior_manager_engagement_6, aps_reduced$senior_manager_engagement_7, aps_reduced$senior_manager_engagement_8, aps_reduced$senior_manager_engagement_9, aps_reduced$senior_manager_engagement_10, aps_reduced$senior_manager_engagement_11, aps_reduced$senior_manager_engagement_12)
senior_manager_engagement <- rowMeans(senior_manager_engagement_df)
summary(senior_manager_engagement)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.083 3.833 3.695 4.250 5.000
agency_engagement_df <- data.frame(aps_reduced$agency_engagement_1, aps_reduced$agency_engagement_2, aps_reduced$agency_engagement_3, aps_reduced$agency_engagement_4, aps_reduced$agency_engagement_5, aps_reduced$agency_engagement_6, aps_reduced$agency_engagement_7, aps_reduced$agency_engagement_8, aps_reduced$agency_engagement_9, aps_reduced$agency_engagement_10, aps_reduced$agency_engagement_11, aps_reduced$agency_engagement_12, aps_reduced$agency_engagement_13, aps_reduced$agency_engagement_14, aps_reduced$agency_engagement_15, aps_reduced$agency_engagement_16, aps_reduced$agency_engagement_17)
agency_engagement <- rowMeans(agency_engagement_df)
summary(agency_engagement)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.176 3.647 3.599 4.000 5.000
team_performance_support_df <- data.frame(aps_reduced$team_performance_support_1, aps_reduced$team_performance_support_2, aps_reduced$team_performance_support_3, aps_reduced$team_performance_support_4)
team_performance_support <- rowMeans(team_performance_support_df)
summary(team_performance_support)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.250 3.750 3.673 4.000 5.000
risk_culture_df <- data.frame(aps_reduced$risk_culture_1, aps_reduced$risk_culture_2, aps_reduced$risk_culture_3, aps_reduced$risk_culture_4, aps_reduced$risk_culture_5)
risk_culture <- rowMeans(risk_culture_df)
summary(risk_culture)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.000 3.400 3.426 4.000 5.000
innovation_df <- data.frame(aps_reduced$innovation_1, aps_reduced$innovation_2, aps_reduced$innovation_3, aps_reduced$innovation_4, aps_reduced$innovation_5)
innovation <- rowMeans(innovation_df)
summary(innovation)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.200 3.600 3.563 4.000 5.000
leadership_engagement_df <- data.frame(aps_reduced$leadership_engagement_1, aps_reduced$leadership_engagement_2, aps_reduced$leadership_engagement_3, aps_reduced$leadership_engagement_4, aps_reduced$leadership_engagement_5, aps_reduced$leadership_engagement_6, aps_reduced$leadership_engagement_7)
leadership_engagement <- rowMeans(leadership_engagement_df)
summary(leadership_engagement)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.000 3.429 3.390 4.000 5.000
wellbeing_df <- data.frame(aps_reduced$wellbeing_1, aps_reduced$wellbeing_2, aps_reduced$wellbeing_3, aps_reduced$wellbeing_4, aps_reduced$wellbeing_5, aps_reduced$wellbeing_6, aps_reduced$wellbeing_7, aps_reduced$wellbeing_8, aps_reduced$wellbeing_9, aps_reduced$wellbeing_10, aps_reduced$wellbeing_11, aps_reduced$wellbeing_12, aps_reduced$wellbeing_13)
wellbeing <- rowMeans(wellbeing_df)
summary(wellbeing)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 3.308 3.692 3.656 4.077 5.000
values_df <- data.frame(aps_reduced$values_1, aps_reduced$values_2, aps_reduced$values_3)
values <- rowMeans(values_df)
summary(values)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 4.000 4.333 4.315 5.000 5.000
# new data frame with the 11 new scales, org_size, employee_level and dependant var
# this data frame (aps_with_scales) will be used for (numeric) regression analysis
# assigning the below 3 variables to unique variables - separate from aps_reduced data frame
org_size <- aps_reduced$org_size
employee_level <- aps_reduced$employee_level
team_performance_rating <- aps_reduced$team_performance_rating
aps_with_scales <- data.frame(org_size, employee_level, job_engagement, team_engagement, supervisor_engagement, senior_manager_engagement, agency_engagement, team_performance_support, risk_culture, innovation, leadership_engagement, wellbeing, values, team_performance_rating)
str(aps_with_scales)
## 'data.frame': 85225 obs. of 14 variables:
## $ org_size : num 1 3 3 3 3 2 2 3 3 3 ...
## $ employee_level : num 3 3 3 3 2 2 3 2 3 3 ...
## $ job_engagement : num 2.8 4.1 4.7 3.9 4.2 3.6 3.8 4.8 3.3 3 ...
## $ team_engagement : num 4 4 4.25 4 4 4.75 5 4.25 3.75 3.25 ...
## $ supervisor_engagement : num 3.91 4 4.82 4.36 4.73 ...
## $ senior_manager_engagement: num 2.83 3.67 2.67 3 3.75 ...
## $ agency_engagement : num 3.18 4 3.29 3.88 3.71 ...
## $ team_performance_support : num 3.25 4.5 3.25 4 3.75 3.75 3 4 3.5 2.25 ...
## $ risk_culture : num 3 4.4 2.4 4 3.4 4 3 4 2.8 3.6 ...
## $ innovation : num 3 4.4 4.2 4 3.8 4.2 2.4 3.4 2 3.4 ...
## $ leadership_engagement : num 3.43 3.71 2.57 3 3.86 ...
## $ wellbeing : num 3.92 4.08 4.38 4.38 3.62 ...
## $ values : num 5 5 3.33 4.33 5 ...
## $ team_performance_rating : num 8 8 8 9 6 7 9 7 2 3 ...
# Visualizing 11 new scales vs. dependent variable
# step 1: converting 11 new scales and dep var to factors for use with likert functions
job_engagement_f <- as.factor(round(job_engagement))
team_engagement_f <- as.factor(round(team_engagement))
supervisor_engagement_f <- as.factor(round(supervisor_engagement))
senior_manager_engagement_f <- as.factor(round(senior_manager_engagement))
agency_engagement_f <- as.factor(round(agency_engagement))
team_performance_support_f <- as.factor(round(team_performance_support))
risk_culture_f <- as.factor(round(risk_culture))
innovation_f <- as.factor(round(innovation))
leadership_engagement_f <- as.factor(round(leadership_engagement))
wellbeing_f <- as.factor(round(wellbeing))
values_f <- as.factor(round(values))
# transforming team_performance_rating to 5 point scale to visualize vs. other questions
# using likert functions
team_performance_rating_5scale <- mgsub(aps_reduced$team_performance_rating, c(1,2,3,4,5,6,7,8,9,10), c(1,1,2,2,3,3,4,4,5,5))
str(team_performance_rating_5scale)
## chr [1:85225] "4" "4" "4" "5" "3" "4" "5" "4" "1" "2" "3" "2" "3" "4" "4" ...
team_performance_rating_5scale <- as.numeric(team_performance_rating_5scale)
str(team_performance_rating_5scale)
## num [1:85225] 4 4 4 5 3 4 5 4 1 2 ...
team_performance_rating_5scale_f <- as.factor(team_performance_rating_5scale)
# Data frame to be used for likert visualizations
aps_with_scales_factors_excl_depVar <- data.frame(job_engagement_f, team_engagement_f, supervisor_engagement_f, senior_manager_engagement_f, agency_engagement_f, team_performance_support_f, risk_culture_f, innovation_f, leadership_engagement_f, wellbeing_f, values_f)
aps_with_scales_factors <- data.frame(job_engagement_f, team_engagement_f, supervisor_engagement_f, senior_manager_engagement_f, agency_engagement_f, team_performance_support_f, risk_culture_f, innovation_f, leadership_engagement_f, wellbeing_f, values_f, team_performance_rating_5scale_f)
str(aps_with_scales_factors)
## 'data.frame': 85225 obs. of 12 variables:
## $ job_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 5 4 4 4 4 5 3 3 ...
## $ team_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 4 4 4 5 5 4 4 3 ...
## $ supervisor_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 5 4 5 5 5 5 3 4 ...
## $ senior_manager_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 3 4 4 2 5 2 4 ...
## $ agency_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 4 4 4 4 4 2 3 ...
## $ team_performance_support_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 4 4 4 3 4 4 2 ...
## $ risk_culture_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 2 4 3 4 3 4 3 4 ...
## $ innovation_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 4 4 4 4 2 3 2 3 ...
## $ leadership_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 3 4 4 3 4 2 3 ...
## $ wellbeing_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 4 4 4 5 4 4 2 4 ...
## $ values_f : Factor w/ 5 levels "1","2","3","4",..: 5 5 3 4 5 5 5 4 4 3 ...
## $ team_performance_rating_5scale_f: Factor w/ 5 levels "1","2","3","4",..: 4 4 4 5 3 4 5 4 1 2 ...
# summary of low scores (strongly disagree + disagree), neutral (neither agree nor disagree)
# high (strongly agree + agree) and mean and sd
aps_with_scales_factors_likert <- likert(aps_with_scales_factors)
summary(aps_with_scales_factors_likert)
## Item low neutral high mean
## 11 values_f 0.9304781 8.691112 90.37841 4.329281
## 2 team_engagement_f 3.8028747 8.600763 87.59636 4.081690
## 3 supervisor_engagement_f 4.0000000 12.381344 83.61866 4.138621
## 1 job_engagement_f 3.3652097 19.944852 76.68994 3.844353
## 12 team_performance_rating_5scale_f 6.2305661 19.315928 74.45351 3.871035
## 6 team_performance_support_f 8.2628337 22.536814 69.20035 3.697507
## 10 wellbeing_f 4.5632150 30.297448 65.13934 3.670261
## 4 senior_manager_engagement_f 9.4784394 26.881784 63.63978 3.713476
## 5 agency_engagement_f 6.5379877 33.217952 60.24406 3.618633
## 8 innovation_f 7.9870930 36.490466 55.52244 3.564658
## 9 leadership_engagement_f 13.7213259 37.248460 49.03021 3.406759
## 7 risk_culture_f 8.8025814 43.298328 47.89909 3.430367
## sd
## 11 0.6759571
## 2 0.7079963
## 3 0.8106579
## 1 0.6576916
## 12 0.8415038
## 6 0.7613755
## 10 0.6768877
## 4 0.9177192
## 5 0.7515965
## 8 0.7943965
## 9 0.9157796
## 7 0.7676932
# centered bar plot showing the percent responses for each question (order from most to least agreement)
plot(aps_with_scales_factors_likert, type="bar")
# bar plot ordered by question (not centered)
plot(aps_with_scales_factors_likert, group.order = names(aps_with_scales_factors), centered = FALSE) + theme(text = element_text(size = 14))
# heat plot (mean, standard deviation, and percent selection of responses for each question)
plot(aps_with_scales_factors_likert,
type="heat",
low.color = "white",
high.color = "blue",
text.color = "black",
text.size = 4,
wrap = 50)
# density plot (treating Likert data like numeric data)
plot(aps_with_scales_factors_likert,
type="density",
facet = TRUE,
bw = 0.5)
# descriptive statistics (mean, sd, median, skewness)
psych::describe(aps_with_scales_factors)
## vars n mean sd median trimmed mad min
## job_engagement_f* 1 85225 3.84 0.66 4 3.85 0.00 1
## team_engagement_f* 2 85225 4.08 0.71 4 4.16 0.00 1
## supervisor_engagement_f* 3 85225 4.14 0.81 4 4.23 1.48 1
## senior_manager_engagement_f* 4 85225 3.71 0.92 4 3.78 1.48 1
## agency_engagement_f* 5 85225 3.62 0.75 4 3.63 0.00 1
## team_performance_support_f* 6 85225 3.70 0.76 4 3.74 0.00 1
## risk_culture_f* 7 85225 3.43 0.77 3 3.47 1.48 1
## innovation_f* 8 85225 3.56 0.79 4 3.57 1.48 1
## leadership_engagement_f* 9 85225 3.41 0.92 3 3.44 1.48 1
## wellbeing_f* 10 85225 3.67 0.68 4 3.69 0.00 1
## values_f* 11 85225 4.33 0.68 4 4.42 1.48 1
## team_performance_rating_5scale_f* 12 85225 3.87 0.84 4 3.94 0.00 1
## max range skew kurtosis se
## job_engagement_f* 5 4 -0.66 1.26 0
## team_engagement_f* 5 4 -0.98 2.25 0
## supervisor_engagement_f* 5 4 -0.99 1.34 0
## senior_manager_engagement_f* 5 4 -0.54 0.10 0
## agency_engagement_f* 5 4 -0.42 0.33 0
## team_performance_support_f* 5 4 -0.74 0.61 0
## risk_culture_f* 5 4 -0.38 0.50 0
## innovation_f* 5 4 -0.30 0.10 0
## leadership_engagement_f* 5 4 -0.47 0.18 0
## wellbeing_f* 5 4 -0.53 0.60 0
## values_f* 5 4 -0.75 0.54 0
## team_performance_rating_5scale_f* 5 4 -0.85 1.14 0
# Correlation analysis
# Pearson correlation (11 scales, org_size, employee_level and dep var)
Pcorrelation_and_significance <- Hmisc::rcorr(as.matrix(aps_with_scales), type = "pearson")
Pcorrelation_and_significance
## org_size employee_level job_engagement
## org_size 1.00 0.08 -0.07
## employee_level 0.08 1.00 -0.21
## job_engagement -0.07 -0.21 1.00
## team_engagement -0.05 -0.13 0.54
## supervisor_engagement -0.02 -0.08 0.57
## senior_manager_engagement -0.05 -0.16 0.58
## agency_engagement -0.05 -0.11 0.75
## team_performance_support -0.04 -0.01 0.55
## risk_culture -0.03 -0.01 0.50
## innovation -0.03 -0.12 0.63
## leadership_engagement -0.05 -0.06 0.55
## wellbeing -0.05 -0.06 0.71
## values -0.03 -0.09 0.46
## team_performance_rating -0.03 -0.05 0.40
## team_engagement supervisor_engagement
## org_size -0.05 -0.02
## employee_level -0.13 -0.08
## job_engagement 0.54 0.57
## team_engagement 1.00 0.59
## supervisor_engagement 0.59 1.00
## senior_manager_engagement 0.44 0.49
## agency_engagement 0.53 0.52
## team_performance_support 0.51 0.52
## risk_culture 0.40 0.41
## innovation 0.45 0.56
## leadership_engagement 0.38 0.38
## wellbeing 0.57 0.64
## values 0.53 0.52
## team_performance_rating 0.46 0.40
## senior_manager_engagement agency_engagement
## org_size -0.05 -0.05
## employee_level -0.16 -0.11
## job_engagement 0.58 0.75
## team_engagement 0.44 0.53
## supervisor_engagement 0.49 0.52
## senior_manager_engagement 1.00 0.63
## agency_engagement 0.63 1.00
## team_performance_support 0.48 0.62
## risk_culture 0.50 0.65
## innovation 0.56 0.70
## leadership_engagement 0.71 0.71
## wellbeing 0.57 0.74
## values 0.48 0.53
## team_performance_rating 0.36 0.45
## team_performance_support risk_culture innovation
## org_size -0.04 -0.03 -0.03
## employee_level -0.01 -0.01 -0.12
## job_engagement 0.55 0.50 0.63
## team_engagement 0.51 0.40 0.45
## supervisor_engagement 0.52 0.41 0.56
## senior_manager_engagement 0.48 0.50 0.56
## agency_engagement 0.62 0.65 0.70
## team_performance_support 1.00 0.55 0.58
## risk_culture 0.55 1.00 0.65
## innovation 0.58 0.65 1.00
## leadership_engagement 0.49 0.58 0.57
## wellbeing 0.65 0.60 0.67
## values 0.48 0.45 0.47
## team_performance_rating 0.53 0.38 0.42
## leadership_engagement wellbeing values
## org_size -0.05 -0.05 -0.03
## employee_level -0.06 -0.06 -0.09
## job_engagement 0.55 0.71 0.46
## team_engagement 0.38 0.57 0.53
## supervisor_engagement 0.38 0.64 0.52
## senior_manager_engagement 0.71 0.57 0.48
## agency_engagement 0.71 0.74 0.53
## team_performance_support 0.49 0.65 0.48
## risk_culture 0.58 0.60 0.45
## innovation 0.57 0.67 0.47
## leadership_engagement 1.00 0.58 0.48
## wellbeing 0.58 1.00 0.56
## values 0.48 0.56 1.00
## team_performance_rating 0.34 0.45 0.39
## team_performance_rating
## org_size -0.03
## employee_level -0.05
## job_engagement 0.40
## team_engagement 0.46
## supervisor_engagement 0.40
## senior_manager_engagement 0.36
## agency_engagement 0.45
## team_performance_support 0.53
## risk_culture 0.38
## innovation 0.42
## leadership_engagement 0.34
## wellbeing 0.45
## values 0.39
## team_performance_rating 1.00
##
## n= 85225
##
##
## P
## org_size employee_level job_engagement
## org_size 0.0000 0.0000
## employee_level 0.0000 0.0000
## job_engagement 0.0000 0.0000
## team_engagement 0.0000 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000 0.0000
## senior_manager_engagement 0.0000 0.0000 0.0000
## agency_engagement 0.0000 0.0000 0.0000
## team_performance_support 0.0000 0.0129 0.0000
## risk_culture 0.0000 0.0139 0.0000
## innovation 0.0000 0.0000 0.0000
## leadership_engagement 0.0000 0.0000 0.0000
## wellbeing 0.0000 0.0000 0.0000
## values 0.0000 0.0000 0.0000
## team_performance_rating 0.0000 0.0000 0.0000
## team_engagement supervisor_engagement
## org_size 0.0000 0.0000
## employee_level 0.0000 0.0000
## job_engagement 0.0000 0.0000
## team_engagement 0.0000
## supervisor_engagement 0.0000
## senior_manager_engagement 0.0000 0.0000
## agency_engagement 0.0000 0.0000
## team_performance_support 0.0000 0.0000
## risk_culture 0.0000 0.0000
## innovation 0.0000 0.0000
## leadership_engagement 0.0000 0.0000
## wellbeing 0.0000 0.0000
## values 0.0000 0.0000
## team_performance_rating 0.0000 0.0000
## senior_manager_engagement agency_engagement
## org_size 0.0000 0.0000
## employee_level 0.0000 0.0000
## job_engagement 0.0000 0.0000
## team_engagement 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000
## senior_manager_engagement 0.0000
## agency_engagement 0.0000
## team_performance_support 0.0000 0.0000
## risk_culture 0.0000 0.0000
## innovation 0.0000 0.0000
## leadership_engagement 0.0000 0.0000
## wellbeing 0.0000 0.0000
## values 0.0000 0.0000
## team_performance_rating 0.0000 0.0000
## team_performance_support risk_culture innovation
## org_size 0.0000 0.0000 0.0000
## employee_level 0.0129 0.0139 0.0000
## job_engagement 0.0000 0.0000 0.0000
## team_engagement 0.0000 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000 0.0000
## senior_manager_engagement 0.0000 0.0000 0.0000
## agency_engagement 0.0000 0.0000 0.0000
## team_performance_support 0.0000 0.0000
## risk_culture 0.0000 0.0000
## innovation 0.0000 0.0000
## leadership_engagement 0.0000 0.0000 0.0000
## wellbeing 0.0000 0.0000 0.0000
## values 0.0000 0.0000 0.0000
## team_performance_rating 0.0000 0.0000 0.0000
## leadership_engagement wellbeing values
## org_size 0.0000 0.0000 0.0000
## employee_level 0.0000 0.0000 0.0000
## job_engagement 0.0000 0.0000 0.0000
## team_engagement 0.0000 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000 0.0000
## senior_manager_engagement 0.0000 0.0000 0.0000
## agency_engagement 0.0000 0.0000 0.0000
## team_performance_support 0.0000 0.0000 0.0000
## risk_culture 0.0000 0.0000 0.0000
## innovation 0.0000 0.0000 0.0000
## leadership_engagement 0.0000 0.0000
## wellbeing 0.0000 0.0000
## values 0.0000 0.0000
## team_performance_rating 0.0000 0.0000 0.0000
## team_performance_rating
## org_size 0.0000
## employee_level 0.0000
## job_engagement 0.0000
## team_engagement 0.0000
## supervisor_engagement 0.0000
## senior_manager_engagement 0.0000
## agency_engagement 0.0000
## team_performance_support 0.0000
## risk_culture 0.0000
## innovation 0.0000
## leadership_engagement 0.0000
## wellbeing 0.0000
## values 0.0000
## team_performance_rating
Pcorr_aps_with_scales <- cor(aps_with_scales, method = "pearson")
Pcorr_aps_with_scales
## org_size employee_level job_engagement
## org_size 1.00000000 0.083050370 -0.06605297
## employee_level 0.08305037 1.000000000 -0.20885949
## job_engagement -0.06605297 -0.208859488 1.00000000
## team_engagement -0.05104893 -0.127712565 0.54199135
## supervisor_engagement -0.01884828 -0.078534207 0.56711267
## senior_manager_engagement -0.04786086 -0.164671593 0.58352615
## agency_engagement -0.05324106 -0.113155178 0.75487803
## team_performance_support -0.03852463 -0.008519484 0.55467936
## risk_culture -0.02527927 -0.008422547 0.50442874
## innovation -0.02929181 -0.123484923 0.62859089
## leadership_engagement -0.05314599 -0.056359040 0.54781366
## wellbeing -0.05489275 -0.055970311 0.70989027
## values -0.02944937 -0.086852474 0.46068189
## team_performance_rating -0.03014092 -0.047173169 0.40190673
## team_engagement supervisor_engagement
## org_size -0.05104893 -0.01884828
## employee_level -0.12771256 -0.07853421
## job_engagement 0.54199135 0.56711267
## team_engagement 1.00000000 0.59259290
## supervisor_engagement 0.59259290 1.00000000
## senior_manager_engagement 0.44414674 0.49402706
## agency_engagement 0.52976875 0.52471243
## team_performance_support 0.51274372 0.51856635
## risk_culture 0.40102737 0.41339290
## innovation 0.45290268 0.55993139
## leadership_engagement 0.37606008 0.38326076
## wellbeing 0.56948444 0.64406488
## values 0.53334064 0.51561766
## team_performance_rating 0.46033362 0.40005078
## senior_manager_engagement agency_engagement
## org_size -0.04786086 -0.05324106
## employee_level -0.16467159 -0.11315518
## job_engagement 0.58352615 0.75487803
## team_engagement 0.44414674 0.52976875
## supervisor_engagement 0.49402706 0.52471243
## senior_manager_engagement 1.00000000 0.63202235
## agency_engagement 0.63202235 1.00000000
## team_performance_support 0.48008462 0.62271906
## risk_culture 0.49776690 0.64903387
## innovation 0.55724751 0.69618486
## leadership_engagement 0.71168082 0.70680044
## wellbeing 0.57190124 0.74247759
## values 0.48358705 0.53098228
## team_performance_rating 0.36133950 0.44510916
## team_performance_support risk_culture innovation
## org_size -0.038524626 -0.025279274 -0.02929181
## employee_level -0.008519484 -0.008422547 -0.12348492
## job_engagement 0.554679355 0.504428741 0.62859089
## team_engagement 0.512743718 0.401027375 0.45290268
## supervisor_engagement 0.518566353 0.413392902 0.55993139
## senior_manager_engagement 0.480084623 0.497766898 0.55724751
## agency_engagement 0.622719064 0.649033865 0.69618486
## team_performance_support 1.000000000 0.545815249 0.57786252
## risk_culture 0.545815249 1.000000000 0.64632951
## innovation 0.577862524 0.646329514 1.00000000
## leadership_engagement 0.493413671 0.576033980 0.56663221
## wellbeing 0.651603311 0.600987007 0.66786687
## values 0.482739195 0.447136835 0.47141176
## team_performance_rating 0.526794670 0.378108218 0.41594374
## leadership_engagement wellbeing values
## org_size -0.05314599 -0.05489275 -0.02944937
## employee_level -0.05635904 -0.05597031 -0.08685247
## job_engagement 0.54781366 0.70989027 0.46068189
## team_engagement 0.37606008 0.56948444 0.53334064
## supervisor_engagement 0.38326076 0.64406488 0.51561766
## senior_manager_engagement 0.71168082 0.57190124 0.48358705
## agency_engagement 0.70680044 0.74247759 0.53098228
## team_performance_support 0.49341367 0.65160331 0.48273920
## risk_culture 0.57603398 0.60098701 0.44713683
## innovation 0.56663221 0.66786687 0.47141176
## leadership_engagement 1.00000000 0.57808210 0.47706435
## wellbeing 0.57808210 1.00000000 0.56455062
## values 0.47706435 0.56455062 1.00000000
## team_performance_rating 0.33950085 0.45158060 0.39402618
## team_performance_rating
## org_size -0.03014092
## employee_level -0.04717317
## job_engagement 0.40190673
## team_engagement 0.46033362
## supervisor_engagement 0.40005078
## senior_manager_engagement 0.36133950
## agency_engagement 0.44510916
## team_performance_support 0.52679467
## risk_culture 0.37810822
## innovation 0.41594374
## leadership_engagement 0.33950085
## wellbeing 0.45158060
## values 0.39402618
## team_performance_rating 1.00000000
corrgram(Pcorr_aps_with_scales, order=TRUE, lower.panel=panel.shade,
upper.panel=panel.pie, text.panel=panel.txt,
main="Correlation analysis - Pearson")
corrplot(Pcorr_aps_with_scales, method="pie", type = "upper", order = "hclust",
tl.col = "black", tl.srt = 40, tl.cex = 0.4)
corrplot(Pcorr_aps_with_scales, method="number", type = "upper", order = "hclust",
tl.col = "black", tl.srt = 40, tl.cex = 0.4)
# Spearman correlation (11 scales, org_size, employee_level and dep var)
Scorrelation_and_significance <- Hmisc::rcorr(as.matrix(aps_with_scales), type = "spearman")
Scorrelation_and_significance
## org_size employee_level job_engagement
## org_size 1.00 0.08 -0.07
## employee_level 0.08 1.00 -0.20
## job_engagement -0.07 -0.20 1.00
## team_engagement -0.06 -0.13 0.52
## supervisor_engagement -0.02 -0.07 0.55
## senior_manager_engagement -0.06 -0.16 0.56
## agency_engagement -0.06 -0.09 0.73
## team_performance_support -0.04 0.01 0.53
## risk_culture -0.03 0.00 0.47
## innovation -0.03 -0.10 0.60
## leadership_engagement -0.06 -0.04 0.52
## wellbeing -0.06 -0.04 0.68
## values -0.03 -0.07 0.43
## team_performance_rating -0.03 -0.03 0.36
## team_engagement supervisor_engagement
## org_size -0.06 -0.02
## employee_level -0.13 -0.07
## job_engagement 0.52 0.55
## team_engagement 1.00 0.58
## supervisor_engagement 0.58 1.00
## senior_manager_engagement 0.42 0.49
## agency_engagement 0.50 0.51
## team_performance_support 0.47 0.49
## risk_culture 0.35 0.38
## innovation 0.42 0.53
## leadership_engagement 0.35 0.37
## wellbeing 0.52 0.60
## values 0.48 0.45
## team_performance_rating 0.41 0.36
## senior_manager_engagement agency_engagement
## org_size -0.06 -0.06
## employee_level -0.16 -0.09
## job_engagement 0.56 0.73
## team_engagement 0.42 0.50
## supervisor_engagement 0.49 0.51
## senior_manager_engagement 1.00 0.61
## agency_engagement 0.61 1.00
## team_performance_support 0.46 0.60
## risk_culture 0.47 0.62
## innovation 0.54 0.68
## leadership_engagement 0.70 0.70
## wellbeing 0.54 0.72
## values 0.46 0.50
## team_performance_rating 0.33 0.41
## team_performance_support risk_culture innovation
## org_size -0.04 -0.03 -0.03
## employee_level 0.01 0.00 -0.10
## job_engagement 0.53 0.47 0.60
## team_engagement 0.47 0.35 0.42
## supervisor_engagement 0.49 0.38 0.53
## senior_manager_engagement 0.46 0.47 0.54
## agency_engagement 0.60 0.62 0.68
## team_performance_support 1.00 0.51 0.55
## risk_culture 0.51 1.00 0.62
## innovation 0.55 0.62 1.00
## leadership_engagement 0.48 0.55 0.55
## wellbeing 0.62 0.56 0.64
## values 0.45 0.41 0.44
## team_performance_rating 0.48 0.34 0.38
## leadership_engagement wellbeing values
## org_size -0.06 -0.06 -0.03
## employee_level -0.04 -0.04 -0.07
## job_engagement 0.52 0.68 0.43
## team_engagement 0.35 0.52 0.48
## supervisor_engagement 0.37 0.60 0.45
## senior_manager_engagement 0.70 0.54 0.46
## agency_engagement 0.70 0.72 0.50
## team_performance_support 0.48 0.62 0.45
## risk_culture 0.55 0.56 0.41
## innovation 0.55 0.64 0.44
## leadership_engagement 1.00 0.56 0.47
## wellbeing 0.56 1.00 0.52
## values 0.47 0.52 1.00
## team_performance_rating 0.31 0.40 0.35
## team_performance_rating
## org_size -0.03
## employee_level -0.03
## job_engagement 0.36
## team_engagement 0.41
## supervisor_engagement 0.36
## senior_manager_engagement 0.33
## agency_engagement 0.41
## team_performance_support 0.48
## risk_culture 0.34
## innovation 0.38
## leadership_engagement 0.31
## wellbeing 0.40
## values 0.35
## team_performance_rating 1.00
##
## n= 85225
##
##
## P
## org_size employee_level job_engagement
## org_size 0.0000 0.0000
## employee_level 0.0000 0.0000
## job_engagement 0.0000 0.0000
## team_engagement 0.0000 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000 0.0000
## senior_manager_engagement 0.0000 0.0000 0.0000
## agency_engagement 0.0000 0.0000 0.0000
## team_performance_support 0.0000 0.0018 0.0000
## risk_culture 0.0000 0.2064 0.0000
## innovation 0.0000 0.0000 0.0000
## leadership_engagement 0.0000 0.0000 0.0000
## wellbeing 0.0000 0.0000 0.0000
## values 0.0000 0.0000 0.0000
## team_performance_rating 0.0000 0.0000 0.0000
## team_engagement supervisor_engagement
## org_size 0.0000 0.0000
## employee_level 0.0000 0.0000
## job_engagement 0.0000 0.0000
## team_engagement 0.0000
## supervisor_engagement 0.0000
## senior_manager_engagement 0.0000 0.0000
## agency_engagement 0.0000 0.0000
## team_performance_support 0.0000 0.0000
## risk_culture 0.0000 0.0000
## innovation 0.0000 0.0000
## leadership_engagement 0.0000 0.0000
## wellbeing 0.0000 0.0000
## values 0.0000 0.0000
## team_performance_rating 0.0000 0.0000
## senior_manager_engagement agency_engagement
## org_size 0.0000 0.0000
## employee_level 0.0000 0.0000
## job_engagement 0.0000 0.0000
## team_engagement 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000
## senior_manager_engagement 0.0000
## agency_engagement 0.0000
## team_performance_support 0.0000 0.0000
## risk_culture 0.0000 0.0000
## innovation 0.0000 0.0000
## leadership_engagement 0.0000 0.0000
## wellbeing 0.0000 0.0000
## values 0.0000 0.0000
## team_performance_rating 0.0000 0.0000
## team_performance_support risk_culture innovation
## org_size 0.0000 0.0000 0.0000
## employee_level 0.0018 0.2064 0.0000
## job_engagement 0.0000 0.0000 0.0000
## team_engagement 0.0000 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000 0.0000
## senior_manager_engagement 0.0000 0.0000 0.0000
## agency_engagement 0.0000 0.0000 0.0000
## team_performance_support 0.0000 0.0000
## risk_culture 0.0000 0.0000
## innovation 0.0000 0.0000
## leadership_engagement 0.0000 0.0000 0.0000
## wellbeing 0.0000 0.0000 0.0000
## values 0.0000 0.0000 0.0000
## team_performance_rating 0.0000 0.0000 0.0000
## leadership_engagement wellbeing values
## org_size 0.0000 0.0000 0.0000
## employee_level 0.0000 0.0000 0.0000
## job_engagement 0.0000 0.0000 0.0000
## team_engagement 0.0000 0.0000 0.0000
## supervisor_engagement 0.0000 0.0000 0.0000
## senior_manager_engagement 0.0000 0.0000 0.0000
## agency_engagement 0.0000 0.0000 0.0000
## team_performance_support 0.0000 0.0000 0.0000
## risk_culture 0.0000 0.0000 0.0000
## innovation 0.0000 0.0000 0.0000
## leadership_engagement 0.0000 0.0000
## wellbeing 0.0000 0.0000
## values 0.0000 0.0000
## team_performance_rating 0.0000 0.0000 0.0000
## team_performance_rating
## org_size 0.0000
## employee_level 0.0000
## job_engagement 0.0000
## team_engagement 0.0000
## supervisor_engagement 0.0000
## senior_manager_engagement 0.0000
## agency_engagement 0.0000
## team_performance_support 0.0000
## risk_culture 0.0000
## innovation 0.0000
## leadership_engagement 0.0000
## wellbeing 0.0000
## values 0.0000
## team_performance_rating
Scorr_aps_with_scales <- cor(aps_with_scales, method = "spearman")
Scorr_aps_with_scales
## org_size employee_level job_engagement
## org_size 1.00000000 0.083848036 -0.07040973
## employee_level 0.08384804 1.000000000 -0.20161715
## job_engagement -0.07040973 -0.201617149 1.00000000
## team_engagement -0.05736317 -0.127896597 0.51519381
## supervisor_engagement -0.02334888 -0.072779662 0.55124180
## senior_manager_engagement -0.05532164 -0.164203976 0.55904893
## agency_engagement -0.05940753 -0.093965148 0.72643411
## team_performance_support -0.04311518 0.010669524 0.52942908
## risk_culture -0.02557473 0.004328223 0.46717929
## innovation -0.03413545 -0.104400622 0.60148260
## leadership_engagement -0.05566880 -0.043508881 0.52479384
## wellbeing -0.05954783 -0.038313382 0.67900287
## values -0.03488920 -0.071568454 0.42610004
## team_performance_rating -0.03374535 -0.029010649 0.35790346
## team_engagement supervisor_engagement
## org_size -0.05736317 -0.02334888
## employee_level -0.12789660 -0.07277966
## job_engagement 0.51519381 0.55124180
## team_engagement 1.00000000 0.57964646
## supervisor_engagement 0.57964646 1.00000000
## senior_manager_engagement 0.42457228 0.49357625
## agency_engagement 0.49815837 0.50682564
## team_performance_support 0.47176981 0.48878108
## risk_culture 0.35482239 0.38065067
## innovation 0.41921144 0.52912584
## leadership_engagement 0.35070107 0.36904445
## wellbeing 0.52364704 0.60329166
## values 0.47921337 0.45164402
## team_performance_rating 0.41087866 0.36192583
## senior_manager_engagement agency_engagement
## org_size -0.05532164 -0.05940753
## employee_level -0.16420398 -0.09396515
## job_engagement 0.55904893 0.72643411
## team_engagement 0.42457228 0.49815837
## supervisor_engagement 0.49357625 0.50682564
## senior_manager_engagement 1.00000000 0.60973438
## agency_engagement 0.60973438 1.00000000
## team_performance_support 0.46060283 0.60159098
## risk_culture 0.46633506 0.62052673
## innovation 0.53654911 0.67662789
## leadership_engagement 0.69735328 0.69551186
## wellbeing 0.54157355 0.71610514
## values 0.45687464 0.50208358
## team_performance_rating 0.32913789 0.40598212
## team_performance_support risk_culture innovation
## org_size -0.04311518 -0.025574727 -0.03413545
## employee_level 0.01066952 0.004328223 -0.10440062
## job_engagement 0.52942908 0.467179286 0.60148260
## team_engagement 0.47176981 0.354822394 0.41921144
## supervisor_engagement 0.48878108 0.380650667 0.52912584
## senior_manager_engagement 0.46060283 0.466335056 0.53654911
## agency_engagement 0.60159098 0.620526726 0.67662789
## team_performance_support 1.00000000 0.512978810 0.54912579
## risk_culture 0.51297881 1.000000000 0.62339785
## innovation 0.54912579 0.623397850 1.00000000
## leadership_engagement 0.47764170 0.551281062 0.55339317
## wellbeing 0.62408778 0.560003963 0.63818837
## values 0.44648389 0.412040018 0.43904872
## team_performance_rating 0.48337370 0.338026673 0.37883819
## leadership_engagement wellbeing values
## org_size -0.05566880 -0.05954783 -0.03488920
## employee_level -0.04350888 -0.03831338 -0.07156845
## job_engagement 0.52479384 0.67900287 0.42610004
## team_engagement 0.35070107 0.52364704 0.47921337
## supervisor_engagement 0.36904445 0.60329166 0.45164402
## senior_manager_engagement 0.69735328 0.54157355 0.45687464
## agency_engagement 0.69551186 0.71610514 0.50208358
## team_performance_support 0.47764170 0.62408778 0.44648389
## risk_culture 0.55128106 0.56000396 0.41204002
## innovation 0.55339317 0.63818837 0.43904872
## leadership_engagement 1.00000000 0.55555772 0.46531462
## wellbeing 0.55555772 1.00000000 0.52302776
## values 0.46531462 0.52302776 1.00000000
## team_performance_rating 0.31061754 0.40277277 0.34688351
## team_performance_rating
## org_size -0.03374535
## employee_level -0.02901065
## job_engagement 0.35790346
## team_engagement 0.41087866
## supervisor_engagement 0.36192583
## senior_manager_engagement 0.32913789
## agency_engagement 0.40598212
## team_performance_support 0.48337370
## risk_culture 0.33802667
## innovation 0.37883819
## leadership_engagement 0.31061754
## wellbeing 0.40277277
## values 0.34688351
## team_performance_rating 1.00000000
corrgram(Scorr_aps_with_scales, order=TRUE, lower.panel=panel.shade,
upper.panel=panel.pie, text.panel=panel.txt,
main="Correlation analysis - Spearman")
corrplot(Scorr_aps_with_scales, method="pie", type = "upper", order = "hclust",
tl.col = "black", tl.srt = 40, tl.cex = 0.4)
corrplot(Scorr_aps_with_scales, method="number", type = "upper", order = "hclust",
tl.col = "black", tl.srt = 40, tl.cex = 0.4)
# PCA analysis
aps_model_pca <- prcomp(aps_with_scales)
summary(aps_model_pca)
## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7
## Standard deviation 2.2144 1.2363 0.72076 0.6238 0.5491 0.50322 0.4792
## Proportion of Variance 0.5317 0.1657 0.05634 0.0422 0.0327 0.02746 0.0249
## Cumulative Proportion 0.5317 0.6975 0.75380 0.7960 0.8287 0.85616 0.8811
## PC8 PC9 PC10 PC11 PC12 PC13 PC14
## Standard deviation 0.4575 0.45189 0.43916 0.40408 0.38922 0.30344 0.28893
## Proportion of Variance 0.0227 0.02214 0.02091 0.01771 0.01643 0.00999 0.00905
## Cumulative Proportion 0.9038 0.92591 0.94683 0.96453 0.98096 0.99095 1.00000
plot(aps_model_pca, type = "l")
aps_model_pca$rotation
## PC1 PC2 PC3 PC4
## org_size 0.01116724 -0.01088564 0.009561422 -0.07168610
## employee_level 0.02584678 -0.03947416 -0.037370448 -0.42225677
## job_engagement -0.19657472 0.17814040 0.116600821 0.04824650
## team_engagement -0.20943477 0.07758429 0.418369228 0.22372570
## supervisor_engagement -0.22791119 0.15752479 0.544197908 0.17832070
## senior_manager_engagement -0.27089236 0.31322445 -0.335007526 0.51777737
## agency_engagement -0.24033940 0.22055726 -0.049862127 -0.13371188
## team_performance_support -0.24542689 0.08653864 0.147738944 -0.31729262
## risk_culture -0.21037670 0.19140415 -0.096871429 -0.49073526
## innovation -0.23869382 0.21128428 0.066015633 -0.27677160
## leadership_engagement -0.26385611 0.33070343 -0.539705975 0.03746929
## wellbeing -0.21017112 0.16811631 0.162266467 -0.11856077
## values -0.18130741 0.12176028 0.168069191 0.10602544
## team_performance_rating -0.65228959 -0.74012289 -0.132614845 0.04010787
## PC5 PC6 PC7 PC8
## org_size 0.16133666 -0.278052256 -0.31307467 0.84423073
## employee_level 0.71203032 -0.196037475 0.12391849 -0.21608903
## job_engagement -0.28392352 0.005706321 0.23199229 0.04698552
## team_engagement 0.14323721 0.445141106 -0.02505707 0.07513005
## supervisor_engagement 0.18947449 -0.491278478 -0.05495466 -0.24708406
## senior_manager_engagement 0.13972248 -0.312507693 0.07530623 0.09422347
## agency_engagement -0.16306430 0.126629097 0.10927540 0.02869289
## team_performance_support 0.09475659 0.137848573 0.59958085 0.36857528
## risk_culture -0.11538393 0.057518072 -0.41729897 -0.09077426
## innovation -0.36108845 -0.309025765 -0.21291862 -0.07159621
## leadership_engagement 0.21669922 0.174113725 0.01489744 -0.09809374
## wellbeing -0.01377948 -0.004198362 0.11107837 -0.03620177
## values 0.28890616 0.425061492 -0.46738141 0.02513369
## team_performance_rating -0.02342204 -0.046953025 -0.03965268 -0.03460635
## PC9 PC10 PC11 PC12
## org_size -0.27175469 0.02234701 0.054011543 0.045833908
## employee_level -0.19172550 -0.13175894 -0.345692084 -0.149743345
## job_engagement -0.35590548 0.06545577 -0.362567726 0.216258253
## team_engagement -0.23628644 -0.57674986 0.117907600 -0.310366879
## supervisor_engagement -0.02547920 0.15550162 0.377946209 0.237734645
## senior_manager_engagement 0.34860655 -0.30393118 -0.313365722 -0.001585071
## agency_engagement -0.32718388 0.08463480 -0.218941692 0.131442615
## team_performance_support 0.47525510 0.09912123 0.196548862 -0.042971150
## risk_culture 0.23486112 -0.44948655 0.099541239 0.433637068
## innovation 0.05835453 0.08283453 -0.056038404 -0.724908020
## leadership_engagement -0.30691757 0.21720956 0.511606755 -0.085158208
## wellbeing -0.12302748 0.11993541 -0.197324320 0.188094100
## values 0.28735151 0.49087735 -0.301374259 -0.015515333
## team_performance_rating -0.03644533 0.01573410 -0.007764135 0.018226785
## PC13 PC14
## org_size -0.030586239 0.0117948969
## employee_level 0.103119780 0.0626850331
## job_engagement 0.293075954 0.6180275378
## team_engagement -0.037284776 0.0004802182
## supervisor_engagement 0.157392102 -0.0707375973
## senior_manager_engagement -0.020137064 -0.0628093987
## agency_engagement 0.285032892 -0.7464371146
## team_performance_support 0.096599061 0.0307823274
## risk_culture 0.060408925 0.1053756853
## innovation -0.010874317 0.0454365362
## leadership_engagement -0.043309627 0.1701844426
## wellbeing -0.876643778 -0.0313147315
## values 0.105894680 0.0614814337
## team_performance_rating -0.005745461 0.0040762107
varimax(aps_model_pca$rotation)
## $loadings
##
## Loadings:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10 PC11 PC12
## org_size 1
## employee_level 1
## job_engagement 1
## team_engagement -1
## supervisor_engagement 1
## senior_manager_engagement 1
## agency_engagement
## team_performance_support 1
## risk_culture 1
## innovation -1
## leadership_engagement 1
## wellbeing
## values 1
## team_performance_rating -1
## PC13 PC14
## org_size
## employee_level
## job_engagement
## team_engagement
## supervisor_engagement
## senior_manager_engagement
## agency_engagement -1
## team_performance_support
## risk_culture
## innovation
## leadership_engagement
## wellbeing -1
## values
## team_performance_rating
##
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10
## SS loadings 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
## Proportion Var 0.071 0.071 0.071 0.071 0.071 0.071 0.071 0.071 0.071 0.071
## Cumulative Var 0.071 0.143 0.214 0.286 0.357 0.429 0.500 0.571 0.643 0.714
## PC11 PC12 PC13 PC14
## SS loadings 1.000 1.000 1.000 1.000
## Proportion Var 0.071 0.071 0.071 0.071
## Cumulative Var 0.786 0.857 0.929 1.000
##
## $rotmat
## [,1] [,2] [,3] [,4] [,5]
## [1,] -0.196574711 0.652289548 -0.22791107 -0.270891745 0.02584678
## [2,] 0.178140143 0.740122932 0.15752477 0.313223869 -0.03947416
## [3,] 0.116600889 0.132614831 0.54419776 -0.335007240 -0.03737046
## [4,] 0.048246640 -0.040107891 0.17832067 0.517778903 -0.42225674
## [5,] -0.283923490 0.023421976 0.18947444 0.139722765 0.71203033
## [6,] 0.005706222 0.046953030 -0.49127864 -0.312507897 -0.19603748
## [7,] 0.231992466 0.039652702 -0.05495451 0.075307492 0.12391850
## [8,] 0.046985498 0.034606368 -0.24708409 0.094223723 -0.21608903
## [9,] -0.355905617 0.036445292 -0.02547930 0.348605717 -0.19172550
## [10,] 0.065455815 -0.015734136 0.15550154 -0.303929874 -0.13175894
## [11,] -0.362567533 0.007764042 0.37794638 -0.313366033 -0.34569209
## [12,] 0.216258085 -0.018226720 0.23773464 -0.001586345 -0.14974335
## [13,] 0.293075854 0.005745518 0.15739204 -0.020137235 0.10311978
## [14,] 0.618027679 -0.004076104 -0.07073765 -0.062809659 0.06268503
## [,6] [,7] [,8] [,9] [,10]
## [1,] -0.18130807 -0.24542699 0.011167237 -0.21037756 0.2094343057
## [2,] 0.12176066 0.08653873 -0.010885641 0.19140507 -0.0775839817
## [3,] 0.16807022 0.14773892 0.009561422 -0.09687242 -0.4183689085
## [4,] 0.10602589 -0.31729264 -0.071686113 -0.49073364 -0.2237255606
## [5,] 0.28890646 0.09475664 0.161336657 -0.11538371 -0.1432366182
## [6,] 0.42506233 0.13784862 -0.278052253 0.05751697 -0.4451401028
## [7,] -0.46738174 0.59958069 -0.313074670 -0.41729857 0.0250559293
## [8,] 0.02513368 0.36857526 0.844230728 -0.09077405 -0.0751299911
## [9,] 0.28735094 0.47525524 -0.271754690 0.23486177 0.2362871371
## [10,] 0.49087585 0.09912121 0.022347007 -0.44948782 0.5767508471
## [11,] -0.30137393 0.19654881 0.054011549 0.09954033 -0.1179083492
## [12,] -0.01551569 -0.04297106 0.045833910 0.43363705 0.3103669407
## [13,] 0.10589471 0.09659909 -0.030586239 0.06040888 0.0372850420
## [14,] 0.06148160 0.03078235 0.011794900 0.10537565 -0.0004800088
## [,11] [,12] [,13] [,14]
## [1,] -0.26385603 0.23869382 0.210171116 0.24033946
## [2,] 0.33070339 -0.21128428 -0.168116311 -0.22055730
## [3,] -0.53970605 -0.06601564 -0.162266471 0.04986210
## [4,] 0.03746926 0.27677158 0.118560778 0.13371187
## [5,] 0.21669920 0.36108842 0.013779477 0.16306436
## [6,] 0.17411375 0.30902577 0.004198364 -0.12662911
## [7,] 0.01489745 0.21291861 -0.111078374 -0.10927545
## [8,] -0.09809373 0.07159621 0.036201773 -0.02869290
## [9,] -0.30691756 -0.05835453 0.123027480 0.32718396
## [10,] 0.21720955 -0.08283456 -0.119935415 -0.08463483
## [11,] 0.51160676 0.05603841 0.197324317 0.21894177
## [12,] -0.08515825 0.72490804 -0.188094102 -0.13144266
## [13,] -0.04330968 0.01087432 0.876643778 -0.28503296
## [14,] 0.17018442 -0.04543653 0.031314734 0.74643697
head(aps_model_pca$x)
## PC1 PC2 PC3 PC4 PC5 PC6
## [1,] 0.24348721 -1.2233361 -0.007669118 0.05162797 0.55240574 1.0645714
## [2,] -1.47731867 0.2357392 -0.095490605 -1.17010732 0.01652913 0.1843840
## [3,] -0.07921469 -1.0403995 1.277005055 -0.18529249 -0.53647592 -1.0139960
## [4,] -1.41728611 -1.1875011 0.437528147 -1.07253755 -0.16359113 -0.2262704
## [5,] 0.26108786 1.4356414 0.395762723 0.34376207 -0.18135985 0.1056406
## [6,] -0.93158656 1.1386200 0.238187687 0.17334067 -0.20423747 0.6637096
## PC7 PC8 PC9 PC10 PC11 PC12
## [1,] 0.007969823 -1.81796413 0.4433081 0.57614174 0.07996394 -0.1464642
## [2,] -0.280321907 0.21106946 0.3538179 0.22758820 -0.26802948 -0.1020091
## [3,] 0.579031430 -0.26436637 -1.2987697 0.22313122 -0.25563075 -0.4340545
## [4,] -0.161995481 -0.06614132 -0.1797329 0.13104310 -0.17208472 0.2120478
## [5,] -0.321341369 0.18078077 0.0762157 0.69841646 0.32091448 0.1015708
## [6,] -0.429276978 -0.77289548 0.3874841 0.09334523 0.55722569 -0.2479029
## PC13 PC14
## [1,] -0.56658553 -0.28652178
## [2,] 0.02835601 0.16044053
## [3,] -0.49352966 0.49828963
## [4,] -0.37639065 -0.10302175
## [5,] 0.26707454 0.19730718
## [6,] -0.79004196 0.07867979
# importing and formatting 2019 test data
aps_with_scales_lr_test <- read.csv("/Users/ibrahimibrahim/Documents/Ryerson/820/data set/aps_with_scales_lr_test.csv",stringsAsFactors = FALSE)
aps_with_scales_factors_ordReg_test <- read.csv("/Users/ibrahimibrahim/Documents/Ryerson/820/data set/aps_with_scales_factors_ordReg_test.csv",stringsAsFactors = TRUE)
str(aps_with_scales_lr_test)
## 'data.frame': 85981 obs. of 15 variables:
## $ X : int 1 2 3 4 5 6 7 8 9 10 ...
## $ org_size : int 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : int 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement : num 4.7 3.4 3.8 3.8 4.4 3 4 4.1 3.8 3.9 ...
## $ team_engagement : num 5 3.5 4 4.75 4.25 4 4 4.5 5 3 ...
## $ supervisor_engagement : num 5 3.73 3.91 4 5 ...
## $ senior_manager_engagement : num 3.67 1.33 4 3.67 5 ...
## $ agency_engagement : num 4.53 2.82 3.88 3.59 2.71 ...
## $ team_performance_support : num 3.5 3.5 4.25 2.75 3.5 3 3.5 3 3.25 3.25 ...
## $ risk_culture : num 3.6 2 3.8 3 3 3 4 3.6 3.6 1.2 ...
## $ innovation : num 4.2 2.6 4.2 3.6 3.2 3.4 4 4.4 3.8 2 ...
## $ leadership_engagement : num 2.29 1.71 4 3.86 2.29 ...
## $ wellbeing : num 4.77 3.15 3.85 3.38 3.54 ...
## $ values : num 4.67 3.67 5 4 4.67 ...
## $ team_performance_rating_binary: int 1 0 1 0 0 1 1 0 0 1 ...
aps_with_scales_lr_test <- aps_with_scales_lr_test[-1]
str(aps_with_scales_lr_test)
## 'data.frame': 85981 obs. of 14 variables:
## $ org_size : int 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : int 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement : num 4.7 3.4 3.8 3.8 4.4 3 4 4.1 3.8 3.9 ...
## $ team_engagement : num 5 3.5 4 4.75 4.25 4 4 4.5 5 3 ...
## $ supervisor_engagement : num 5 3.73 3.91 4 5 ...
## $ senior_manager_engagement : num 3.67 1.33 4 3.67 5 ...
## $ agency_engagement : num 4.53 2.82 3.88 3.59 2.71 ...
## $ team_performance_support : num 3.5 3.5 4.25 2.75 3.5 3 3.5 3 3.25 3.25 ...
## $ risk_culture : num 3.6 2 3.8 3 3 3 4 3.6 3.6 1.2 ...
## $ innovation : num 4.2 2.6 4.2 3.6 3.2 3.4 4 4.4 3.8 2 ...
## $ leadership_engagement : num 2.29 1.71 4 3.86 2.29 ...
## $ wellbeing : num 4.77 3.15 3.85 3.38 3.54 ...
## $ values : num 4.67 3.67 5 4 4.67 ...
## $ team_performance_rating_binary: int 1 0 1 0 0 1 1 0 0 1 ...
aps_with_scales_lr_test$team_performance_rating <- as.numeric(aps_with_scales_lr_test$team_performance_rating)
str(aps_with_scales_lr_test)
## 'data.frame': 85981 obs. of 15 variables:
## $ org_size : int 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : int 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement : num 4.7 3.4 3.8 3.8 4.4 3 4 4.1 3.8 3.9 ...
## $ team_engagement : num 5 3.5 4 4.75 4.25 4 4 4.5 5 3 ...
## $ supervisor_engagement : num 5 3.73 3.91 4 5 ...
## $ senior_manager_engagement : num 3.67 1.33 4 3.67 5 ...
## $ agency_engagement : num 4.53 2.82 3.88 3.59 2.71 ...
## $ team_performance_support : num 3.5 3.5 4.25 2.75 3.5 3 3.5 3 3.25 3.25 ...
## $ risk_culture : num 3.6 2 3.8 3 3 3 4 3.6 3.6 1.2 ...
## $ innovation : num 4.2 2.6 4.2 3.6 3.2 3.4 4 4.4 3.8 2 ...
## $ leadership_engagement : num 2.29 1.71 4 3.86 2.29 ...
## $ wellbeing : num 4.77 3.15 3.85 3.38 3.54 ...
## $ values : num 4.67 3.67 5 4 4.67 ...
## $ team_performance_rating_binary: int 1 0 1 0 0 1 1 0 0 1 ...
## $ team_performance_rating : num 1 0 1 0 0 1 1 0 0 1 ...
aps_with_scales_lr_test$org_size <- as.factor(aps_with_scales_lr_test$org_size)
aps_with_scales_lr_test$employee_level <- as.factor(aps_with_scales_lr_test$employee_level)
str(aps_with_scales_lr_test)
## 'data.frame': 85981 obs. of 15 variables:
## $ org_size : Factor w/ 3 levels "1","2","3": 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : Factor w/ 3 levels "1","2","3": 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement : num 4.7 3.4 3.8 3.8 4.4 3 4 4.1 3.8 3.9 ...
## $ team_engagement : num 5 3.5 4 4.75 4.25 4 4 4.5 5 3 ...
## $ supervisor_engagement : num 5 3.73 3.91 4 5 ...
## $ senior_manager_engagement : num 3.67 1.33 4 3.67 5 ...
## $ agency_engagement : num 4.53 2.82 3.88 3.59 2.71 ...
## $ team_performance_support : num 3.5 3.5 4.25 2.75 3.5 3 3.5 3 3.25 3.25 ...
## $ risk_culture : num 3.6 2 3.8 3 3 3 4 3.6 3.6 1.2 ...
## $ innovation : num 4.2 2.6 4.2 3.6 3.2 3.4 4 4.4 3.8 2 ...
## $ leadership_engagement : num 2.29 1.71 4 3.86 2.29 ...
## $ wellbeing : num 4.77 3.15 3.85 3.38 3.54 ...
## $ values : num 4.67 3.67 5 4 4.67 ...
## $ team_performance_rating_binary: int 1 0 1 0 0 1 1 0 0 1 ...
## $ team_performance_rating : num 1 0 1 0 0 1 1 0 0 1 ...
str(aps_with_scales_factors_ordReg_test)
## 'data.frame': 85981 obs. of 15 variables:
## $ X : int 1 2 3 4 5 6 7 8 9 10 ...
## $ org_size : int 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : int 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement_f : int 5 3 4 4 4 3 4 4 4 4 ...
## $ team_engagement_f : int 5 4 4 5 4 4 4 4 5 3 ...
## $ supervisor_engagement_f : int 5 4 4 4 5 4 3 4 5 3 ...
## $ senior_manager_engagement_f : int 4 1 4 4 5 4 3 3 4 3 ...
## $ agency_engagement_f : int 5 3 4 4 3 3 4 4 4 3 ...
## $ team_performance_support_f : int 4 4 4 3 4 3 4 3 3 3 ...
## $ risk_culture_f : int 4 2 4 3 3 3 4 4 4 1 ...
## $ innovation_f : int 4 3 4 4 3 3 4 4 4 2 ...
## $ leadership_engagement_f : int 2 2 4 4 2 3 4 4 4 2 ...
## $ wellbeing_f : int 5 3 4 3 4 3 4 4 4 3 ...
## $ values_f : int 5 4 5 4 5 4 5 5 5 4 ...
## $ team_performance_rating_ordReg: int 2 0 2 1 1 2 2 1 1 2 ...
aps_with_scales_factors_ordReg_test <- aps_with_scales_factors_ordReg_test[-1]
str(aps_with_scales_factors_ordReg_test)
## 'data.frame': 85981 obs. of 14 variables:
## $ org_size : int 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : int 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement_f : int 5 3 4 4 4 3 4 4 4 4 ...
## $ team_engagement_f : int 5 4 4 5 4 4 4 4 5 3 ...
## $ supervisor_engagement_f : int 5 4 4 4 5 4 3 4 5 3 ...
## $ senior_manager_engagement_f : int 4 1 4 4 5 4 3 3 4 3 ...
## $ agency_engagement_f : int 5 3 4 4 3 3 4 4 4 3 ...
## $ team_performance_support_f : int 4 4 4 3 4 3 4 3 3 3 ...
## $ risk_culture_f : int 4 2 4 3 3 3 4 4 4 1 ...
## $ innovation_f : int 4 3 4 4 3 3 4 4 4 2 ...
## $ leadership_engagement_f : int 2 2 4 4 2 3 4 4 4 2 ...
## $ wellbeing_f : int 5 3 4 3 4 3 4 4 4 3 ...
## $ values_f : int 5 4 5 4 5 4 5 5 5 4 ...
## $ team_performance_rating_ordReg: int 2 0 2 1 1 2 2 1 1 2 ...
aps_with_scales_factors_ordReg_test$org_size <- as.factor(aps_with_scales_factors_ordReg_test$org_size)
aps_with_scales_factors_ordReg_test$employee_level <- as.factor(aps_with_scales_factors_ordReg_test$employee_level)
aps_with_scales_factors_ordReg_test$job_engagement_f <- as.factor(aps_with_scales_factors_ordReg_test$job_engagement_f)
aps_with_scales_factors_ordReg_test$team_engagement_f <- as.factor(aps_with_scales_factors_ordReg_test$team_engagement_f)
aps_with_scales_factors_ordReg_test$supervisor_engagement_f <- as.factor(aps_with_scales_factors_ordReg_test$supervisor_engagement_f)
aps_with_scales_factors_ordReg_test$senior_manager_engagement_f <- as.factor(aps_with_scales_factors_ordReg_test$senior_manager_engagement_f)
aps_with_scales_factors_ordReg_test$agency_engagement_f <- as.factor(aps_with_scales_factors_ordReg_test$agency_engagement_f)
aps_with_scales_factors_ordReg_test$team_performance_support_f <- as.factor(aps_with_scales_factors_ordReg_test$team_performance_support_f)
aps_with_scales_factors_ordReg_test$risk_culture_f <- as.factor(aps_with_scales_factors_ordReg_test$risk_culture_f)
aps_with_scales_factors_ordReg_test$innovation_f <- as.factor(aps_with_scales_factors_ordReg_test$innovation_f)
aps_with_scales_factors_ordReg_test$leadership_engagement_f <- as.factor(aps_with_scales_factors_ordReg_test$leadership_engagement_f)
aps_with_scales_factors_ordReg_test$wellbeing_f <- as.factor(aps_with_scales_factors_ordReg_test$wellbeing_f)
aps_with_scales_factors_ordReg_test$values_f <- as.factor(aps_with_scales_factors_ordReg_test$values_f)
aps_with_scales_factors_ordReg_test$team_performance_rating_ordReg <- as.factor(aps_with_scales_factors_ordReg_test$team_performance_rating_ordReg)
str(aps_with_scales_factors_ordReg_test)
## 'data.frame': 85981 obs. of 14 variables:
## $ org_size : Factor w/ 3 levels "1","2","3": 1 3 3 3 3 3 3 3 3 2 ...
## $ employee_level : Factor w/ 3 levels "1","2","3": 2 3 3 3 3 2 2 3 3 2 ...
## $ job_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 5 3 4 4 4 3 4 4 4 4 ...
## $ team_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 5 4 4 5 4 4 4 4 5 3 ...
## $ supervisor_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 5 4 4 4 5 4 3 4 5 3 ...
## $ senior_manager_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 4 1 4 4 5 4 3 3 4 3 ...
## $ agency_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 5 3 4 4 3 3 4 4 4 3 ...
## $ team_performance_support_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 4 3 4 3 4 3 3 3 ...
## $ risk_culture_f : Factor w/ 5 levels "1","2","3","4",..: 4 2 4 3 3 3 4 4 4 1 ...
## $ innovation_f : Factor w/ 5 levels "1","2","3","4",..: 4 3 4 4 3 3 4 4 4 2 ...
## $ leadership_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 2 2 4 4 2 3 4 4 4 2 ...
## $ wellbeing_f : Factor w/ 5 levels "1","2","3","4",..: 5 3 4 3 4 3 4 4 4 3 ...
## $ values_f : Factor w/ 5 levels "1","2","3","4",..: 5 4 5 4 5 4 5 5 5 4 ...
## $ team_performance_rating_ordReg: Factor w/ 3 levels "0","1","2": 3 1 3 2 2 3 3 2 2 3 ...
# Logistic regression model
# preparing the 2 factor levels: org_size and employee_level
org_size <- as.factor(aps_reduced$org_size)
employee_level <- as.factor(aps_reduced$employee_level)
# transforming the values of the dependent variable to be binary
table(aps_reduced$team_performance_rating)
##
## 1 2 3 4 5 6 7 8 9 10
## 595 734 1736 2245 9207 7255 17346 28687 12291 5129
team_performance_rating_binary <- mgsub(aps_reduced$team_performance_rating, c(1,2,3,4,5,6,7,8,9,10), c(0,0,0,0,0,0,0,1,1,1))
team_performance_rating_binary <- as.numeric(team_performance_rating_binary)
table(team_performance_rating_binary)
## team_performance_rating_binary
## 0 1
## 39118 46107
str(team_performance_rating_binary)
## num [1:85225] 1 1 1 1 0 0 1 0 0 0 ...
summary(team_performance_rating_binary)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000 0.000 1.000 0.541 1.000 1.000
# new data frame with the new scales plus the 2 ordinal variables - for logistic regression
aps_with_scales_lr <- data.frame(org_size, employee_level, job_engagement, team_engagement, supervisor_engagement, senior_manager_engagement, agency_engagement, team_performance_support, risk_culture, innovation, leadership_engagement, wellbeing, values, team_performance_rating_binary)
str(aps_with_scales_lr)
## 'data.frame': 85225 obs. of 14 variables:
## $ org_size : Factor w/ 3 levels "1","2","3": 1 3 3 3 3 2 2 3 3 3 ...
## $ employee_level : Factor w/ 3 levels "1","2","3": 3 3 3 3 2 2 3 2 3 3 ...
## $ job_engagement : num 2.8 4.1 4.7 3.9 4.2 3.6 3.8 4.8 3.3 3 ...
## $ team_engagement : num 4 4 4.25 4 4 4.75 5 4.25 3.75 3.25 ...
## $ supervisor_engagement : num 3.91 4 4.82 4.36 4.73 ...
## $ senior_manager_engagement : num 2.83 3.67 2.67 3 3.75 ...
## $ agency_engagement : num 3.18 4 3.29 3.88 3.71 ...
## $ team_performance_support : num 3.25 4.5 3.25 4 3.75 3.75 3 4 3.5 2.25 ...
## $ risk_culture : num 3 4.4 2.4 4 3.4 4 3 4 2.8 3.6 ...
## $ innovation : num 3 4.4 4.2 4 3.8 4.2 2.4 3.4 2 3.4 ...
## $ leadership_engagement : num 3.43 3.71 2.57 3 3.86 ...
## $ wellbeing : num 3.92 4.08 4.38 4.38 3.62 ...
## $ values : num 5 5 3.33 4.33 5 ...
## $ team_performance_rating_binary: num 1 1 1 1 0 0 1 0 0 0 ...
train <- aps_with_scales_lr
test <- aps_with_scales_lr_test
lrmodel <- glm(train$team_performance_rating_binary~.,data = train, family = "binomial")
lrmodel
##
## Call: glm(formula = train$team_performance_rating_binary ~ ., family = "binomial",
## data = train)
##
## Coefficients:
## (Intercept) org_size2
## -7.51329 -0.04672
## org_size3 employee_level2
## -0.06107 -0.14624
## employee_level3 job_engagement
## -0.09131 -0.05827
## team_engagement supervisor_engagement
## 0.57942 0.04131
## senior_manager_engagement agency_engagement
## 0.07714 0.18313
## team_performance_support risk_culture
## 0.90048 0.05201
## innovation leadership_engagement
## 0.17219 -0.08172
## wellbeing values
## -0.03651 0.20837
##
## Degrees of Freedom: 85224 Total (i.e. Null); 85209 Residual
## Null Deviance: 117600
## Residual Deviance: 97970 AIC: 98000
summary(lrmodel)
##
## Call:
## glm(formula = train$team_performance_rating_binary ~ ., family = "binomial",
## data = train)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.3780 -1.0121 0.4780 0.9534 3.3596
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -7.51329 0.10372 -72.440 < 2e-16 ***
## org_size2 -0.04672 0.04731 -0.987 0.32343
## org_size3 -0.06107 0.04114 -1.484 0.13772
## employee_level2 -0.14624 0.05141 -2.845 0.00445 **
## employee_level3 -0.09131 0.05109 -1.787 0.07389 .
## job_engagement -0.05827 0.02208 -2.639 0.00832 **
## team_engagement 0.57942 0.01627 35.607 < 2e-16 ***
## supervisor_engagement 0.04131 0.01528 2.703 0.00687 **
## senior_manager_engagement 0.07714 0.01400 5.509 3.61e-08 ***
## agency_engagement 0.18313 0.02334 7.847 4.25e-15 ***
## team_performance_support 0.90048 0.01602 56.198 < 2e-16 ***
## risk_culture 0.05201 0.01653 3.147 0.00165 **
## innovation 0.17219 0.01723 9.991 < 2e-16 ***
## leadership_engagement -0.08172 0.01520 -5.377 7.58e-08 ***
## wellbeing -0.03651 0.02362 -1.545 0.12223
## values 0.20837 0.01612 12.924 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 117573 on 85224 degrees of freedom
## Residual deviance: 97968 on 85209 degrees of freedom
## AIC: 98000
##
## Number of Fisher Scoring iterations: 4
aov(lrmodel)
## Call:
## aov(formula = lrmodel)
##
## Terms:
## org_size employee_level job_engagement team_engagement
## Sum of Squares 17.495 52.483 1902.652 1017.157
## Deg. of Freedom 2 2 1 1
## supervisor_engagement senior_manager_engagement
## Sum of Squares 105.979 104.649
## Deg. of Freedom 1 1
## agency_engagement team_performance_support risk_culture
## Sum of Squares 197.307 807.872 4.115
## Deg. of Freedom 1 1 1
## innovation leadership_engagement wellbeing values Residuals
## Sum of Squares 19.190 2.397 0.008 31.218 16900.442
## Deg. of Freedom 1 1 1 1 85209
##
## Residual standard error: 0.445355
## Estimated effects may be unbalanced
predicted <- predict(lrmodel, test, type="response")
str(predicted)
## Named num [1:85981] 0.722 0.299 0.718 0.405 0.536 ...
## - attr(*, "names")= chr [1:85981] "1" "2" "3" "4" ...
summary(predicted)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.003131 0.390402 0.580685 0.548726 0.716788 0.938097
predicted_class <- ifelse(predicted>=0.562, 1, 0)
cm <- table(actual = test$team_performance_rating_binary, predicted = predicted_class)
cm
## predicted
## actual 0 1
## 0 25403 11055
## 1 14930 34593
accuracy <- sum(diag(cm))/nrow(test)
accuracy
## [1] 0.6977821
accuracy <- (cm[1,1] + cm[2,2]) / (cm[1,1] + cm[1,2] + cm[2,1] + cm[2,2])
accuracy
## [1] 0.6977821
sensitivity <- cm[2,2] / (cm[2,2] + cm[2,1])
sensitivity
## [1] 0.6985239
# SN = TP / (TP + FN)
#quantifies how many diagnosis are predicted accurately
specificity <- cm[1,1] / (cm[1,1] + cm[1,2])
specificity
## [1] 0.6967744
# SP = TN / (TN + FP)
#measures the proportion of actual negatives that are predicted correctly
accuracy
## [1] 0.6977821
sensitivity
## [1] 0.6985239
specificity
## [1] 0.6967744
# Ordinal logistic regression
# preparing dep var
team_performance_rating_ordReg <- mgsub(aps_reduced$team_performance_rating, c(1,2,3,4,5,6,7,8,9,10), c(0,0,0,0,1,1,1,2,2,2))
team_performance_rating_ordReg <- as.numeric(team_performance_rating_ordReg)
table(team_performance_rating_ordReg)
## team_performance_rating_ordReg
## 0 1 2
## 5310 33808 46107
team_performance_rating_ordReg <- as.factor(team_performance_rating_ordReg)
str(team_performance_rating_ordReg)
## Factor w/ 3 levels "0","1","2": 3 3 3 3 2 2 3 2 1 1 ...
aps_with_scales_factors_ordReg <- data.frame(org_size, employee_level, aps_with_scales_factors_excl_depVar, team_performance_rating_ordReg)
str(aps_with_scales_factors_ordReg)
## 'data.frame': 85225 obs. of 14 variables:
## $ org_size : Factor w/ 3 levels "1","2","3": 1 3 3 3 3 2 2 3 3 3 ...
## $ employee_level : Factor w/ 3 levels "1","2","3": 3 3 3 3 2 2 3 2 3 3 ...
## $ job_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 5 4 4 4 4 5 3 3 ...
## $ team_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 4 4 4 5 5 4 4 3 ...
## $ supervisor_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 5 4 5 5 5 5 3 4 ...
## $ senior_manager_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 3 4 4 2 5 2 4 ...
## $ agency_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 4 4 4 4 4 2 3 ...
## $ team_performance_support_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 4 4 4 3 4 4 2 ...
## $ risk_culture_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 2 4 3 4 3 4 3 4 ...
## $ innovation_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 4 4 4 4 2 3 2 3 ...
## $ leadership_engagement_f : Factor w/ 5 levels "1","2","3","4",..: 3 4 3 3 4 4 3 4 2 3 ...
## $ wellbeing_f : Factor w/ 5 levels "1","2","3","4",..: 4 4 4 4 4 5 4 4 2 4 ...
## $ values_f : Factor w/ 5 levels "1","2","3","4",..: 5 5 3 4 5 5 5 4 4 3 ...
## $ team_performance_rating_ordReg: Factor w/ 3 levels "0","1","2": 3 3 3 3 2 2 3 2 1 1 ...
train <- aps_with_scales_factors_ordReg
test <- aps_with_scales_factors_ordReg_test
ordered_logistic_regression <- MASS::polr(formula = team_performance_rating_ordReg~., data = train, Hess = TRUE)
summary(ordered_logistic_regression)
## Call:
## MASS::polr(formula = team_performance_rating_ordReg ~ ., data = train,
## Hess = TRUE)
##
## Coefficients:
## Value Std. Error t value
## org_size2 -0.002728 0.04505 -0.06057
## org_size3 -0.034580 0.03913 -0.88377
## employee_level2 -0.148815 0.05058 -2.94193
## employee_level3 -0.089337 0.05015 -1.78145
## job_engagement_f2 -0.670633 0.20154 -3.32763
## job_engagement_f3 -0.589503 0.20287 -2.90576
## job_engagement_f4 -0.501373 0.20334 -2.46564
## job_engagement_f5 -0.532689 0.20558 -2.59120
## team_engagement_f2 0.113494 0.13716 0.82748
## team_engagement_f3 0.619320 0.13764 4.49941
## team_engagement_f4 1.213120 0.13723 8.84029
## team_engagement_f5 1.773257 0.13839 12.81348
## supervisor_engagement_f2 -0.118107 0.09918 -1.19088
## supervisor_engagement_f3 -0.098675 0.09703 -1.01696
## supervisor_engagement_f4 0.043736 0.09736 0.44923
## supervisor_engagement_f5 0.136278 0.09849 1.38363
## senior_manager_engagement_f2 -0.089141 0.06779 -1.31497
## senior_manager_engagement_f3 0.006263 0.06837 0.09160
## senior_manager_engagement_f4 0.091558 0.06930 1.32122
## senior_manager_engagement_f5 0.191437 0.07255 2.63860
## agency_engagement_f2 0.159063 0.11535 1.37892
## agency_engagement_f3 0.229798 0.11851 1.93899
## agency_engagement_f4 0.385266 0.12013 3.20711
## agency_engagement_f5 0.600802 0.12731 4.71923
## team_performance_support_f2 0.840029 0.13145 6.39066
## team_performance_support_f3 1.776870 0.13236 13.42415
## team_performance_support_f4 2.502154 0.13280 18.84212
## team_performance_support_f5 3.144781 0.13765 22.84699
## risk_culture_f2 0.054840 0.07250 0.75637
## risk_culture_f3 0.142273 0.07184 1.98031
## risk_culture_f4 0.269186 0.07334 3.67027
## risk_culture_f5 0.386510 0.08735 4.42484
## innovation_f2 0.086615 0.09309 0.93043
## innovation_f3 0.299926 0.09380 3.19749
## innovation_f4 0.472305 0.09512 4.96540
## innovation_f5 0.551686 0.10127 5.44763
## leadership_engagement_f2 -0.067101 0.04840 -1.38635
## leadership_engagement_f3 -0.117898 0.04854 -2.42867
## leadership_engagement_f4 -0.139697 0.05129 -2.72388
## leadership_engagement_f5 -0.142551 0.06247 -2.28207
## wellbeing_f2 0.245565 0.17193 1.42832
## wellbeing_f3 0.253963 0.17583 1.44440
## wellbeing_f4 0.275339 0.17701 1.55547
## wellbeing_f5 0.361602 0.18225 1.98405
## values_f2 0.705251 0.29304 2.40665
## values_f3 0.928968 0.28703 3.23646
## values_f4 1.151129 0.28745 4.00457
## values_f5 1.340900 0.28782 4.65874
##
## Intercepts:
## Value Std. Error t value
## 0|1 1.8784 0.3357 5.5960
## 1|2 5.1325 0.3362 15.2651
##
## Residual Deviance: 124338.13
## AIC: 124438.13
coeffs <- coef(summary(ordered_logistic_regression))
p <- pnorm(abs(coeffs[,"t value"]), lower.tail = FALSE) * 2
cbind(coeffs, "p value" = round(p,3))
## Value Std. Error t value p value
## org_size2 -0.002728451 0.04504695 -0.06056905 0.952
## org_size3 -0.034580028 0.03912801 -0.88376659 0.377
## employee_level2 -0.148814735 0.05058402 -2.94193163 0.003
## employee_level3 -0.089336895 0.05014853 -1.78144584 0.075
## job_engagement_f2 -0.670633110 0.20153505 -3.32762524 0.001
## job_engagement_f3 -0.589502795 0.20287395 -2.90575896 0.004
## job_engagement_f4 -0.501373409 0.20334423 -2.46563872 0.014
## job_engagement_f5 -0.532688684 0.20557630 -2.59119693 0.010
## team_engagement_f2 0.113494478 0.13715638 0.82748230 0.408
## team_engagement_f3 0.619320054 0.13764475 4.49940916 0.000
## team_engagement_f4 1.213120347 0.13722628 8.84029141 0.000
## team_engagement_f5 1.773257294 0.13839000 12.81347860 0.000
## supervisor_engagement_f2 -0.118106577 0.09917608 -1.19087770 0.234
## supervisor_engagement_f3 -0.098674891 0.09702881 -1.01696482 0.309
## supervisor_engagement_f4 0.043736420 0.09735916 0.44922758 0.653
## supervisor_engagement_f5 0.136277661 0.09849251 1.38363483 0.166
## senior_manager_engagement_f2 -0.089141418 0.06778964 -1.31497116 0.189
## senior_manager_engagement_f3 0.006262580 0.06837015 0.09159817 0.927
## senior_manager_engagement_f4 0.091558119 0.06929833 1.32121685 0.186
## senior_manager_engagement_f5 0.191437452 0.07255271 2.63859827 0.008
## agency_engagement_f2 0.159063352 0.11535369 1.37891860 0.168
## agency_engagement_f3 0.229798105 0.11851448 1.93898764 0.053
## agency_engagement_f4 0.385266265 0.12012867 3.20711349 0.001
## agency_engagement_f5 0.600802419 0.12730940 4.71923044 0.000
## team_performance_support_f2 0.840029140 0.13144639 6.39065972 0.000
## team_performance_support_f3 1.776870073 0.13236367 13.42415197 0.000
## team_performance_support_f4 2.502154078 0.13279576 18.84212292 0.000
## team_performance_support_f5 3.144780630 0.13764530 22.84698874 0.000
## risk_culture_f2 0.054839867 0.07250440 0.75636608 0.449
## risk_culture_f3 0.142273377 0.07184411 1.98030673 0.048
## risk_culture_f4 0.269186282 0.07334230 3.67027328 0.000
## risk_culture_f5 0.386509913 0.08734997 4.42484326 0.000
## innovation_f2 0.086615250 0.09309204 0.93042591 0.352
## innovation_f3 0.299926429 0.09380072 3.19748546 0.001
## innovation_f4 0.472304703 0.09511915 4.96540076 0.000
## innovation_f5 0.551686420 0.10127086 5.44763219 0.000
## leadership_engagement_f2 -0.067101446 0.04840156 -1.38634877 0.166
## leadership_engagement_f3 -0.117897799 0.04854409 -2.42867452 0.015
## leadership_engagement_f4 -0.139697150 0.05128613 -2.72387753 0.006
## leadership_engagement_f5 -0.142550949 0.06246566 -2.28206895 0.022
## wellbeing_f2 0.245564820 0.17192525 1.42832316 0.153
## wellbeing_f3 0.253962664 0.17582546 1.44440213 0.149
## wellbeing_f4 0.275338996 0.17701379 1.55546639 0.120
## wellbeing_f5 0.361602076 0.18225460 1.98404906 0.047
## values_f2 0.705250760 0.29304259 2.40664936 0.016
## values_f3 0.928968474 0.28703255 3.23645684 0.001
## values_f4 1.151128832 0.28745357 4.00457304 0.000
## values_f5 1.340899780 0.28782484 4.65873537 0.000
## 0|1 1.878429232 0.33567219 5.59602289 0.000
## 1|2 5.132536619 0.33622672 15.26510615 0.000
predicted <- predict(ordered_logistic_regression, test, type = "class")
head(predicted)
## [1] 2 1 2 2 2 1
## Levels: 0 1 2
str(predicted)
## Factor w/ 3 levels "0","1","2": 3 2 3 3 3 2 3 2 3 2 ...
summary(predicted)
## 0 1 2
## 1402 26986 57593
cm <- table(actual = test$team_performance_rating_ordReg, predicted = predicted)
cm
## predicted
## actual 0 1 2
## 0 839 2959 650
## 1 461 15342 16207
## 2 102 8685 40736
accuracy <- sum(diag(cm))/nrow(test)
accuracy
## [1] 0.6619718
# sensitivity: (TP) / (TP + FN)
sensitivity_low <- cm[1,1] / (cm[1,1] + cm[1,2] + cm[1,3])
sensitivity_low
## [1] 0.1886241
sensitivity_medium <- cm[2,2] / (cm[2,2] + cm[2,1] + cm[2,3])
sensitivity_medium
## [1] 0.4792877
sensitivity_high <- cm[3,3] / (cm[3,3] + cm[3,1] + cm[3,2])
sensitivity_high
## [1] 0.8225673
sensitivity <- c(low = sensitivity_low, medium = sensitivity_medium, high = sensitivity_high)
sensitivity
## low medium high
## 0.1886241 0.4792877 0.8225673
# specificity: (TN) / (TN + FP)
specificity_low <- (cm[2,2] + cm[2,3] + cm[3,2] + cm[3,3]) / (cm[2,2] + cm[2,3] + cm[3,2] + cm[3,3] + cm[2,1] + cm[3,1])
specificity_low
## [1] 0.9930948
specificity_medium <- (cm[1,1] + cm[1,3] + cm[3,1] + cm[3,3]) / (cm[1,1] + cm[1,3] + cm[3,1] + cm[3,3] + cm[1,2] + cm[3,2])
specificity_medium
## [1] 0.7842545
specificity_high <- (cm[1,1] + cm[1,2] + cm[2,1] + cm[2,2]) / (cm[1,1] + cm[1,2] + cm[2,1] + cm[2,2] + cm[2,3] + cm[1,3])
specificity_high
## [1] 0.5376323
specificity <- c(low = specificity_low, medium = specificity_medium, high = specificity_high)
specificity
## low medium high
## 0.9930948 0.7842545 0.5376323
# Decision tree using logitic regression aps_with_scales_lr data set
#simplified decision tree
aps_decision_tree <- ctree(
team_performance_rating_binary ~.,
data = aps_with_scales_lr,
control = ctree_control(maxdepth = 4)
)
print(aps_decision_tree)
##
## Conditional inference tree with 16 terminal nodes
##
## Response: team_performance_rating_binary
## Inputs: org_size, employee_level, job_engagement, team_engagement, supervisor_engagement, senior_manager_engagement, agency_engagement, team_performance_support, risk_culture, innovation, leadership_engagement, wellbeing, values
## Number of observations: 85225
##
## 1) team_performance_support <= 3.5; criterion = 1, statistic = 14329.924
## 2) team_engagement <= 3.75; criterion = 1, statistic = 2786.283
## 3) team_performance_support <= 2.75; criterion = 1, statistic = 727.231
## 4) team_performance_support <= 2.5; criterion = 1, statistic = 112.075
## 5)* weights = 4714
## 4) team_performance_support > 2.5
## 6)* weights = 2070
## 3) team_performance_support > 2.75
## 7) values <= 3.666667; criterion = 1, statistic = 131.714
## 8)* weights = 3780
## 7) values > 3.666667
## 9)* weights = 5139
## 2) team_engagement > 3.75
## 10) team_performance_support <= 2.75; criterion = 1, statistic = 733.057
## 11) team_engagement <= 4.5; criterion = 1, statistic = 80.159
## 12)* weights = 3613
## 11) team_engagement > 4.5
## 13)* weights = 851
## 10) team_performance_support > 2.75
## 14) team_engagement <= 4.5; criterion = 1, statistic = 373.119
## 15)* weights = 12452
## 14) team_engagement > 4.5
## 16)* weights = 3718
## 1) team_performance_support > 3.5
## 17) team_engagement <= 4.5; criterion = 1, statistic = 2596.657
## 18) agency_engagement <= 3.823529; criterion = 1, statistic = 848.386
## 19) team_engagement <= 3.5; criterion = 1, statistic = 375.83
## 20)* weights = 2812
## 19) team_engagement > 3.5
## 21)* weights = 14614
## 18) agency_engagement > 3.823529
## 22) team_performance_support <= 4.25; criterion = 1, statistic = 289.104
## 23)* weights = 11833
## 22) team_performance_support > 4.25
## 24)* weights = 3054
## 17) team_engagement > 4.5
## 25) team_performance_support <= 4.25; criterion = 1, statistic = 513.79
## 26) agency_engagement <= 3.882353; criterion = 1, statistic = 77.903
## 27)* weights = 3729
## 26) agency_engagement > 3.882353
## 28)* weights = 4941
## 25) team_performance_support > 4.25
## 29) innovation <= 4.2; criterion = 1, statistic = 89.486
## 30)* weights = 3582
## 29) innovation > 4.2
## 31)* weights = 4323
plot(aps_decision_tree, type="simple")
#full decision tree
aps_decision_tree <- ctree(
team_performance_rating_binary ~.,
data = aps_with_scales_lr)
print(aps_decision_tree)
##
## Conditional inference tree with 90 terminal nodes
##
## Response: team_performance_rating_binary
## Inputs: org_size, employee_level, job_engagement, team_engagement, supervisor_engagement, senior_manager_engagement, agency_engagement, team_performance_support, risk_culture, innovation, leadership_engagement, wellbeing, values
## Number of observations: 85225
##
## 1) team_performance_support <= 3.5; criterion = 1, statistic = 14329.924
## 2) team_engagement <= 3.75; criterion = 1, statistic = 2786.283
## 3) team_performance_support <= 2.75; criterion = 1, statistic = 727.231
## 4) team_performance_support <= 2.5; criterion = 1, statistic = 112.075
## 5) values <= 3.333333; criterion = 1, statistic = 46.795
## 6) team_performance_support <= 2; criterion = 0.997, statistic = 13.506
## 7)* weights = 1219
## 6) team_performance_support > 2
## 8) team_engagement <= 3.5; criterion = 0.983, statistic = 10.344
## 9)* weights = 1020
## 8) team_engagement > 3.5
## 10)* weights = 97
## 5) values > 3.333333
## 11) team_performance_support <= 2.25; criterion = 0.987, statistic = 10.842
## 12)* weights = 1300
## 11) team_performance_support > 2.25
## 13) team_engagement <= 3; criterion = 0.998, statistic = 14.075
## 14)* weights = 398
## 13) team_engagement > 3
## 15)* weights = 680
## 4) team_performance_support > 2.5
## 16) job_engagement <= 3.2; criterion = 0.996, statistic = 12.85
## 17)* weights = 968
## 16) job_engagement > 3.2
## 18) team_engagement <= 3; criterion = 0.966, statistic = 9.003
## 19)* weights = 359
## 18) team_engagement > 3
## 20)* weights = 743
## 3) team_performance_support > 2.75
## 21) values <= 3.666667; criterion = 1, statistic = 131.714
## 22) team_performance_support <= 3; criterion = 1, statistic = 41.477
## 23) team_engagement <= 3.5; criterion = 1, statistic = 18.444
## 24)* weights = 1375
## 23) team_engagement > 3.5
## 25)* weights = 289
## 22) team_performance_support > 3
## 26) team_engagement <= 3; criterion = 0.999, statistic = 15.65
## 27)* weights = 812
## 26) team_engagement > 3
## 28)* weights = 1304
## 21) values > 3.666667
## 29) innovation <= 3.4; criterion = 1, statistic = 39.802
## 30) team_engagement <= 3.5; criterion = 1, statistic = 21.726
## 31) org_size == {1}; criterion = 0.976, statistic = 12.564
## 32)* weights = 64
## 31) org_size == {2, 3}
## 33)* weights = 2133
## 30) team_engagement > 3.5
## 34)* weights = 1239
## 29) innovation > 3.4
## 35) team_performance_support <= 3; criterion = 1, statistic = 22.39
## 36)* weights = 465
## 35) team_performance_support > 3
## 37) values <= 4.333333; criterion = 0.987, statistic = 10.819
## 38)* weights = 806
## 37) values > 4.333333
## 39)* weights = 432
## 2) team_engagement > 3.75
## 40) team_performance_support <= 2.75; criterion = 1, statistic = 733.057
## 41) team_engagement <= 4.5; criterion = 1, statistic = 80.159
## 42) team_performance_support <= 2.25; criterion = 1, statistic = 41.566
## 43)* weights = 883
## 42) team_performance_support > 2.25
## 44) values <= 4; criterion = 1, statistic = 29.012
## 45)* weights = 1583
## 44) values > 4
## 46) risk_culture <= 3.4; criterion = 0.994, statistic = 12.195
## 47)* weights = 825
## 46) risk_culture > 3.4
## 48)* weights = 322
## 41) team_engagement > 4.5
## 49) team_performance_support <= 2.5; criterion = 1, statistic = 22.379
## 50)* weights = 423
## 49) team_performance_support > 2.5
## 51)* weights = 428
## 40) team_performance_support > 2.75
## 52) team_engagement <= 4.5; criterion = 1, statistic = 373.119
## 53) innovation <= 3.4; criterion = 1, statistic = 111.486
## 54) team_performance_support <= 3.25; criterion = 1, statistic = 58.046
## 55) values <= 4; criterion = 1, statistic = 24.036
## 56) team_engagement <= 4; criterion = 0.996, statistic = 13.17
## 57)* weights = 1796
## 56) team_engagement > 4
## 58)* weights = 496
## 55) values > 4
## 59)* weights = 1862
## 54) team_performance_support > 3.25
## 60) senior_manager_engagement <= 4.833333; criterion = 0.973, statistic = 9.45
## 61)* weights = 2620
## 60) senior_manager_engagement > 4.833333
## 62)* weights = 75
## 53) innovation > 3.4
## 63) values <= 4.666667; criterion = 1, statistic = 32.581
## 64) team_performance_support <= 3.25; criterion = 1, statistic = 18.163
## 65)* weights = 2034
## 64) team_performance_support > 3.25
## 66)* weights = 1921
## 63) values > 4.666667
## 67)* weights = 1648
## 52) team_engagement > 4.5
## 68) team_performance_support <= 3; criterion = 1, statistic = 61.627
## 69)* weights = 941
## 68) team_performance_support > 3
## 70) job_engagement <= 3.9; criterion = 1, statistic = 19.138
## 71)* weights = 1313
## 70) job_engagement > 3.9
## 72)* weights = 1464
## 1) team_performance_support > 3.5
## 73) team_engagement <= 4.5; criterion = 1, statistic = 2596.657
## 74) agency_engagement <= 3.823529; criterion = 1, statistic = 848.386
## 75) team_engagement <= 3.5; criterion = 1, statistic = 375.83
## 76) team_performance_support <= 3.75; criterion = 1, statistic = 35.599
## 77)* weights = 1086
## 76) team_performance_support > 3.75
## 78) innovation <= 3.8; criterion = 1, statistic = 22.913
## 79) team_engagement <= 3; criterion = 0.996, statistic = 13.181
## 80)* weights = 502
## 79) team_engagement > 3
## 81)* weights = 820
## 78) innovation > 3.8
## 82)* weights = 404
## 75) team_engagement > 3.5
## 83) team_performance_support <= 3.75; criterion = 1, statistic = 251.63
## 84) values <= 4; criterion = 1, statistic = 18.37
## 85) team_engagement <= 3.75; criterion = 0.957, statistic = 8.574
## 86)* weights = 467
## 85) team_engagement > 3.75
## 87)* weights = 1638
## 84) values > 4
## 88)* weights = 2395
## 83) team_performance_support > 3.75
## 89) wellbeing <= 3.769231; criterion = 1, statistic = 96.347
## 90) supervisor_engagement <= 3.636364; criterion = 1, statistic = 44.366
## 91) team_performance_support <= 4; criterion = 0.985, statistic = 10.492
## 92)* weights = 740
## 91) team_performance_support > 4
## 93)* weights = 215
## 90) supervisor_engagement > 3.636364
## 94) innovation <= 3.4; criterion = 1, statistic = 23.831
## 95) team_engagement <= 4; criterion = 0.965, statistic = 8.956
## 96)* weights = 1689
## 95) team_engagement > 4
## 97)* weights = 494
## 94) innovation > 3.4
## 98) team_engagement <= 4; criterion = 0.999, statistic = 14.977
## 99) team_performance_support <= 4; criterion = 0.986, statistic = 10.625
## 100) agency_engagement <= 3.352941; criterion = 0.984, statistic = 10.402
## 101)* weights = 390
## 100) agency_engagement > 3.352941
## 102)* weights = 1186
## 99) team_performance_support > 4
## 103)* weights = 312
## 98) team_engagement > 4
## 104)* weights = 524
## 89) wellbeing > 3.769231
## 105) team_performance_support <= 4; criterion = 1, statistic = 43.09
## 106) innovation <= 3.8; criterion = 0.981, statistic = 10.153
## 107) values <= 4; criterion = 0.986, statistic = 10.675
## 108)* weights = 702
## 107) values > 4
## 109)* weights = 1291
## 106) innovation > 3.8
## 110)* weights = 1223
## 105) team_performance_support > 4
## 111)* weights = 1348
## 74) agency_engagement > 3.823529
## 112) team_performance_support <= 4.25; criterion = 1, statistic = 289.104
## 113) team_performance_support <= 3.75; criterion = 1, statistic = 86.265
## 114) senior_manager_engagement <= 3.833333; criterion = 1, statistic = 21.45
## 115) innovation <= 3.8; criterion = 0.993, statistic = 11.883
## 116)* weights = 461
## 115) innovation > 3.8
## 117)* weights = 270
## 114) senior_manager_engagement > 3.833333
## 118) team_engagement <= 3.5; criterion = 0.951, statistic = 8.34
## 119)* weights = 101
## 118) team_engagement > 3.5
## 120)* weights = 1381
## 113) team_performance_support > 3.75
## 121) values <= 4.666667; criterion = 1, statistic = 69.373
## 122) wellbeing <= 3.769231; criterion = 1, statistic = 23.046
## 123) team_engagement <= 3; criterion = 0.999, statistic = 15.1
## 124)* weights = 42
## 123) team_engagement > 3
## 125)* weights = 1817
## 122) wellbeing > 3.769231
## 126) risk_culture <= 3.6; criterion = 0.989, statistic = 11.16
## 127)* weights = 1260
## 126) risk_culture > 3.6
## 128)* weights = 2536
## 121) values > 4.666667
## 129) wellbeing <= 3.615385; criterion = 1, statistic = 28.132
## 130) supervisor_engagement <= 3.454545; criterion = 0.991, statistic = 11.592
## 131)* weights = 32
## 130) supervisor_engagement > 3.454545
## 132)* weights = 342
## 129) wellbeing > 3.615385
## 133) risk_culture <= 3.8; criterion = 1, statistic = 21.403
## 134) employee_level == {3}; criterion = 0.95, statistic = 11.078
## 135)* weights = 1044
## 134) employee_level == {1, 2}
## 136)* weights = 537
## 133) risk_culture > 3.8
## 137)* weights = 2010
## 112) team_performance_support > 4.25
## 138) values <= 4.333333; criterion = 1, statistic = 26.044
## 139)* weights = 865
## 138) values > 4.333333
## 140)* weights = 2189
## 73) team_engagement > 4.5
## 141) team_performance_support <= 4.25; criterion = 1, statistic = 513.79
## 142) agency_engagement <= 3.882353; criterion = 1, statistic = 77.903
## 143) team_engagement <= 4.75; criterion = 1, statistic = 18.329
## 144) senior_manager_engagement <= 3.833333; criterion = 0.96, statistic = 8.705
## 145)* weights = 612
## 144) senior_manager_engagement > 3.833333
## 146)* weights = 632
## 143) team_engagement > 4.75
## 147) supervisor_engagement <= 4.818182; criterion = 0.983, statistic = 10.278
## 148)* weights = 1259
## 147) supervisor_engagement > 4.818182
## 149)* weights = 1226
## 142) agency_engagement > 3.882353
## 150) team_performance_support <= 3.75; criterion = 1, statistic = 36.522
## 151) senior_manager_engagement <= 3.5; criterion = 0.983, statistic = 10.305
## 152)* weights = 102
## 151) senior_manager_engagement > 3.5
## 153)* weights = 753
## 150) team_performance_support > 3.75
## 154) senior_manager_engagement <= 4.666667; criterion = 0.99, statistic = 11.262
## 155)* weights = 2377
## 154) senior_manager_engagement > 4.666667
## 156) supervisor_engagement <= 4.545455; criterion = 0.968, statistic = 9.134
## 157) team_performance_support <= 4; criterion = 0.984, statistic = 10.454
## 158) team_engagement <= 4.75; criterion = 0.98, statistic = 10.045
## 159)* weights = 38
## 158) team_engagement > 4.75
## 160)* weights = 78
## 157) team_performance_support > 4
## 161)* weights = 80
## 156) supervisor_engagement > 4.545455
## 162)* weights = 1513
## 141) team_performance_support > 4.25
## 163) innovation <= 4.2; criterion = 1, statistic = 89.486
## 164) agency_engagement <= 4.117647; criterion = 0.999, statistic = 16.932
## 165)* weights = 1770
## 164) agency_engagement > 4.117647
## 166) team_performance_support <= 4.5; criterion = 0.994, statistic = 12.422
## 167)* weights = 691
## 166) team_performance_support > 4.5
## 168) values <= 4.333333; criterion = 0.99, statistic = 11.225
## 169) team_engagement <= 4.75; criterion = 0.951, statistic = 8.344
## 170)* weights = 33
## 169) team_engagement > 4.75
## 171)* weights = 109
## 168) values > 4.333333
## 172)* weights = 979
## 163) innovation > 4.2
## 173) wellbeing <= 4.615385; criterion = 1, statistic = 26.731
## 174) values <= 4.666667; criterion = 0.992, statistic = 11.745
## 175)* weights = 753
## 174) values > 4.666667
## 176) senior_manager_engagement <= 4.333333; criterion = 0.997, statistic = 13.532
## 177)* weights = 435
## 176) senior_manager_engagement > 4.333333
## 178)* weights = 1524
## 173) wellbeing > 4.615385
## 179)* weights = 1611
plot(aps_decision_tree, type="simple")
aps_decision_tree_prediction <- predict(aps_decision_tree, aps_with_scales_lr_test)
head(aps_decision_tree_prediction)
## team_performance_rating_binary
## [1,] 0.6830601
## [2,] 0.2545710
## [3,] 0.7356322
## [4,] 0.4976636
## [5,] 0.6666667
## [6,] 0.4119227
str(aps_decision_tree_prediction)
## num [1:85981, 1] 0.683 0.255 0.736 0.498 0.667 ...
## - attr(*, "dimnames")=List of 2
## ..$ : NULL
## ..$ : chr "team_performance_rating_binary"
summary(aps_decision_tree_prediction)
## team_performance_rating_binary
## Min. :0.04348
## 1st Qu.:0.40323
## Median :0.57550
## Mean :0.55396
## 3rd Qu.:0.74104
## Max. :0.93048
predicted_class <- ifelse(aps_decision_tree_prediction>=0.56, 1, 0)
cm <- table(actual = aps_with_scales_lr_test$team_performance_rating_binary, predicted = predicted_class)
cm
## predicted
## actual 0 1
## 0 25760 10698
## 1 15654 33869
accuracy <- (cm[1,1] + cm[2,2]) / (cm[1,1] + cm[1,2] + cm[2,1] + cm[2,2])
accuracy
## [1] 0.6935137
sensitivity <- cm[2,2] / (cm[2,2] + cm[2,1])
sensitivity
## [1] 0.6839044
specificity <- cm[1,1] / (cm[1,1] + cm[1,2])
specificity
## [1] 0.7065665
accuracy
## [1] 0.6935137
sensitivity
## [1] 0.6839044
specificity
## [1] 0.7065665
#k-means clustering - analyzing APS data using binary dependent variable scale
aps_with_scales_k2 <- data.frame(job_engagement, team_engagement, supervisor_engagement, senior_manager_engagement, agency_engagement, team_performance_support, risk_culture, innovation, leadership_engagement, wellbeing, values, team_performance_rating_binary)
aps_with_scales_kmeans <- aps_with_scales_k2[-aps_with_scales_k2$team_performance_rating_binary]
aps_kmeans<- kmeans(aps_with_scales_kmeans, 6)
## Warning: Quick-TRANSfer stage steps exceeded maximum (= 4261250)
aps_kmeans
## K-means clustering with 6 clusters of sizes 4043, 12565, 16229, 26362, 14536, 11490
##
## Cluster means:
## team_engagement supervisor_engagement senior_manager_engagement
## 1 2.640490 2.424865 2.187897
## 2 4.765877 4.866621 4.694124
## 3 3.721532 3.679166 3.644746
## 4 4.239426 4.337638 4.150479
## 5 4.302095 4.387333 3.260078
## 6 3.714600 3.663225 2.711517
## agency_engagement team_performance_support risk_culture innovation
## 1 2.291688 2.353018 2.217561 2.217611
## 2 4.478537 4.501612 4.218034 4.470084
## 3 3.394258 3.296475 3.248259 3.285748
## 4 3.894431 3.904066 3.660701 3.823564
## 5 3.509834 3.817075 3.357196 3.556907
## 6 2.818057 3.051262 2.781723 2.845518
## leadership_engagement wellbeing values team_performance_rating_binary
## 1 2.022932 2.336593 3.083354 0.1142716
## 2 4.414291 4.352340 4.841597 0.8556307
## 3 3.402023 3.386478 4.055518 0.2589808
## 4 3.840951 3.903859 4.586855 0.6657689
## 5 2.878725 3.741713 4.378256 0.6758393
## 6 2.342758 3.060588 3.838758 0.2885988
##
## Clustering vector:
## [1] 5 4 5 5 4 4 5 4 1 3 6 6 3 4 2 4 4 4 6 3 3 5 3 2 3 4 3 5 2 3 1 4 4 4 3 4
## [37] 6 5 1 4 6 5 5 3 3 2 4 5 3 6 4 5 6 4 3 4 2 3 4 3 2 1 2 3 5 6 3 4 6 5 1 5
## [73] 4 5 4 3 4 6 4 1 3 3 3 1 5 4 4 6 6 6 3 5 4 5 4 4 5 3 3 5 4 5 5 6 3 4 5 2
## [109] 3 4 5 6 4 6 3 4 6 5 1 3 5 3 4 6 6 4 5 6 4 2 4 6 3 3 3 4 6 6 6 6 2 3 4 3
## [145] 4 5 2 4 6 5 4 4 4 4 5 2 4 5 2 3 2 4 5 5 1 4 4 5 2 4 5 2 4 6 5 5 5 2 6 2
## [181] 4 5 4 3 3 5 6 4 5 6 3 4 6 3 6 3 4 4 2 4 5 1 3 2 1 4 3 3 4 4 5 5 1 2 3 3
## [217] 6 4 6 3 4 2 5 5 3 3 3 4 4 4 2 3 3 3 3 4 3 1 6 4 1 4 4 3 2 5 4 5 6 5 3 2
## [253] 6 1 3 5 3 2 4 5 3 3 5 5 3 2 2 2 4 3 1 5 2 4 5 5 2 5 3 2 3 6 3 4 3 3 4 5
## [289] 4 4 5 5 6 4 6 5 5 4 5 2 5 5 4 6 2 2 4 6 4 4 6 4 4 2 5 5 4 2 4 5 1 5 1 4
## [325] 4 1 3 6 3 5 3 3 4 2 2 4 5 5 4 1 6 4 5 4 6 5 6 4 6 2 4 2 6 3 4 3 5 3 4 2
## [361] 2 4 3 5 3 6 4 5 3 2 4 6 2 3 4 5 6 4 6 3 5 3 3 4 2 2 6 4 3 3 4 4 6 4 5 2
## [397] 6 5 4 4 3 6 4 1 4 1 6 5 3 2 4 3 4 4 2 4 2 4 6 4 2 4 2 6 4 6 5 2 2 4 4 4
## [433] 4 4 3 5 3 3 5 2 5 3 4 1 5 3 2 2 4 3 5 2 4 4 3 6 6 4 4 4 5 1 5 6 5 5 3 4
## [469] 5 4 3 5 2 5 5 1 3 4 4 5 4 6 2 6 5 5 4 4 2 5 4 6 4 2 5 3 5 6 2 3 5 5 1 2
## [505] 4 6 3 5 4 3 3 2 1 1 4 4 3 4 5 2 5 2 2 6 3 4 6 3 4 4 5 3 5 6 4 4 2 4 4 4
## [541] 3 5 4 2 5 6 2 2 6 5 6 6 6 4 6 6 4 6 5 6 4 5 3 3 2 3 2 4 6 4 2 2 5 4 5 5
## [577] 5 5 6 3 5 4 1 1 5 4 6 2 3 3 4 6 4 5 4 3 3 5 2 3 2 6 4 5 6 1 6 4 3 6 2 1
## [613] 5 4 3 6 4 2 3 4 5 4 3 6 3 6 2 4 4 3 3 1 6 4 4 2 5 6 5 4 4 6 4 4 2 4 6 6
## [649] 5 6 6 2 4 4 3 3 1 4 6 4 4 4 6 3 4 4 2 4 5 4 4 4 6 5 2 5 5 1 4 4 3 4 3 4
## [685] 4 4 6 4 3 4 5 4 3 4 3 4 4 2 2 5 4 6 3 6 4 2 4 1 4 2 2 2 4 4 2 3 4 2 2 5
## [721] 4 4 3 4 3 2 5 4 4 5 2 1 4 4 5 4 5 5 4 4 2 5 5 4 6 5 4 3 3 4 3 5 3 2 4 3
## [757] 1 3 3 4 5 4 3 1 6 4 3 5 3 6 3 5 6 2 3 5 5 5 4 4 1 4 4 6 4 6 4 5 3 2 4 4
## [793] 2 4 2 2 5 4 5 4 3 4 3 4 2 4 6 4 5 3 6 6 6 1 2 3 5 1 5 1 5 3 6 3 4 5 6 5
## [829] 4 4 3 6 2 5 4 3 2 1 4 6 2 6 6 4 6 3 3 3 5 2 5 2 3 5 4 2 3 2 2 4 4 5 2 2
## [865] 5 4 2 4 3 4 3 5 4 4 4 6 3 1 5 4 4 5 4 3 2 4 2 6 4 2 6 2 6 2 6 5 2 3 4 5
## [901] 3 5 3 4 4 1 3 4 4 5 4 3 2 4 5 5 6 5 6 3 3 4 4 6 4 4 2 4 3 2 6 4 4 4 5 5
## [937] 3 5 3 5 6 5 1 6 6 1 4 1 5 3 4 4 3 6 5 3 4 6 3 6 5 4 4 5 4 4 6 3 3 6 5 2
## [973] 3 4 6 3 2 4 4 2 5 4 4 6 2 4 5 3 3 6 4 4 5 4 3 5 5 6 3 6 5 4 5 3 2 4 6 4
## [1009] 3 2 5 4 3 4 5 5 4 1 1 6 1 4 4 3 2 2 5 6 4 5 2 4 2 3 4 4 4 1 3 2 4 5 4 4
## [1045] 3 3 1 4 4 3 4 2 4 1 4 3 3 4 1 3 1 4 6 3 3 6 5 5 3 4 3 3 4 3 4 5 4 1 2 3
## [1081] 2 1 4 4 4 4 5 4 5 2 3 4 4 4 6 5 5 6 4 6 4 2 4 5 6 6 3 4 4 4 4 6 2 4 5 4
## [1117] 2 5 3 5 4 1 3 4 4 5 5 5 3 4 5 4 6 5 3 3 4 4 4 4 3 3 5 5 3 2 3 6 4 3 5 6
## [1153] 4 4 4 4 4 5 6 6 4 4 6 2 5 4 1 2 4 3 3 2 4 2 5 6 2 3 2 3 2 4 5 6 3 4 4 3
## [1189] 2 3 6 3 4 6 4 4 6 4 6 5 5 4 5 4 1 6 5 2 4 5 2 2 3 3 1 3 2 4 4 5 6 5 6 6
## [1225] 5 4 4 6 6 4 4 1 2 1 3 5 4 3 6 4 2 5 2 4 4 4 3 3 3 3 5 4 4 2 2 4 2 2 4 2
## [1261] 5 5 6 2 3 3 2 4 4 2 1 4 6 6 4 2 3 4 3 3 5 3 4 5 2 4 3 2 3 3 2 4 6 4 6 4
## [1297] 4 5 4 2 5 4 6 5 4 5 3 1 4 1 4 3 1 4 6 2 4 3 2 3 3 4 2 3 4 2 3 4 2 4 2 4
## [1333] 3 4 3 6 6 1 5 3 6 4 5 3 6 6 2 5 6 4 2 6 6 4 4 2 5 4 4 4 4 6 5 5 5 4 5 3
## [1369] 5 6 1 4 2 6 6 4 4 5 6 3 4 6 5 5 5 3 5 4 3 5 4 1 4 5 6 3 1 4 2 6 2 6 2 4
## [1405] 4 5 3 5 2 4 5 4 2 2 5 6 5 6 5 4 5 3 5 4 4 2 3 3 4 3 5 2 5 5 5 5 4 5 3 3
## [1441] 5 5 6 4 1 4 6 3 3 2 3 6 2 6 2 1 2 4 3 6 3 2 3 4 6 2 4 3 2 5 2 5 3 6 4 6
## [1477] 5 1 5 6 6 5 2 2 4 6 1 6 4 4 4 1 3 6 4 4 5 4 5 4 2 5 4 5 4 4 3 4 6 6 5 3
## [1513] 2 4 5 6 3 6 6 3 4 5 2 4 4 4 2 2 6 3 4 3 5 2 3 3 3 4 6 3 3 3 2 5 4 2 5 4
## [1549] 1 2 4 5 2 3 4 5 4 1 6 4 3 4 1 2 5 1 3 4 6 4 4 3 5 3 6 2 4 4 3 6 1 2 3 4
## [1585] 5 4 6 4 2 3 1 3 1 4 2 4 6 3 3 5 3 4 3 6 6 6 5 4 6 6 6 3 6 3 6 3 6 6 2 1
## [1621] 5 4 4 5 3 2 2 4 4 3 4 3 3 4 4 4 5 6 5 5 4 6 6 4 4 6 2 2 4 3 5 4 2 5 5 4
## [1657] 5 3 6 2 2 2 1 5 6 3 2 4 6 4 6 3 5 5 2 6 3 3 3 6 2 3 4 4 3 5 3 5 3 3 1 5
## [1693] 4 4 2 4 4 6 3 1 3 3 2 3 4 4 2 4 2 5 3 5 5 5 3 4 4 4 6 4 2 6 5 6 3 6 2 3
## [1729] 1 6 3 5 1 6 6 2 4 5 4 5 4 4 2 5 3 3 3 6 4 3 5 2 4 4 2 5 3 4 4 4 3 3 2 5
## [1765] 4 4 1 2 2 5 4 4 5 4 4 4 3 3 3 4 3 4 6 6 4 4 4 5 4 5 5 4 4 5 4 5 3 4 4 3
## [1801] 5 3 4 1 5 4 3 4 5 2 5 4 4 6 3 4 4 2 5 1 4 4 3 5 4 4 4 4 4 2 3 2 5 1 2 2
## [1837] 5 3 4 4 6 3 3 4 4 5 5 3 4 3 3 2 2 2 4 4 4 2 4 4 4 5 5 4 4 6 5 5 5 3 6 4
## [1873] 3 3 4 1 4 5 4 1 1 2 3 3 1 3 2 2 5 3 4 5 5 2 2 3 3 5 4 4 2 4 6 1 4 4 4 4
## [1909] 6 4 3 2 4 5 1 1 2 2 4 1 6 1 5 4 2 1 5 4 6 4 2 6 4 3 1 4 4 5 3 6 4 4 1 4
## [1945] 4 4 3 2 4 3 2 6 5 4 3 3 1 6 5 1 4 5 5 4 5 6 4 5 4 2 3 4 4 4 2 3 3 6 5 2
## [1981] 4 4 4 6 4 4 4 6 2 2 5 3 4 3 4 4 5 3 5 6 3 6 6 1 6 4 6 4 6 4 2 4 6 3 3 4
## [2017] 4 2 6 1 4 4 3 5 2 4 4 1 6 6 5 4 5 2 3 2 6 4 6 4 5 6 2 1 2 3 3 1 3 5 5 6
## [2053] 3 3 3 2 5 4 5 4 2 5 4 4 5 4 4 3 2 4 4 4 3 3 3 3 1 2 2 3 4 6 5 6 3 5 4 6
## [2089] 4 5 6 6 3 3 4 4 2 4 3 6 4 5 4 3 6 2 2 5 6 3 4 1 6 2 4 4 3 6 5 3 4 3 2 2
## [2125] 4 4 2 2 5 5 4 5 2 6 6 3 4 3 3 3 6 1 2 4 2 4 4 2 4 5 4 1 3 4 2 4 4 2 2 2
## [2161] 3 3 4 3 2 3 4 3 1 3 3 1 5 2 4 4 3 2 6 3 2 4 6 2 5 2 4 4 4 5 1 2 2 5 3 4
## [2197] 4 3 4 3 2 2 5 2 5 4 4 4 5 6 2 6 6 6 3 5 4 6 5 3 4 4 6 4 1 4 6 4 4 4 6 4
## [2233] 4 4 4 3 2 6 2 3 3 2 5 2 3 6 3 1 6 6 4 4 6 2 4 1 3 2 3 2 6 5 3 4 4 5 5 5
## [2269] 1 6 4 5 5 4 3 3 2 4 5 4 4 3 3 4 6 5 3 3 5 4 3 2 2 3 4 4 5 5 3 4 4 4 4 5
## [2305] 1 3 2 4 3 4 4 1 3 2 2 4 5 4 6 3 4 6 1 5 4 4 2 4 3 2 3 3 4 2 2 4 4 4 2 3
## [2341] 1 4 3 5 4 4 4 4 4 4 6 4 3 5 4 2 4 4 3 2 2 6 2 5 2 4 6 3 3 3 5 4 1 4 5 4
## [2377] 4 2 5 6 3 4 4 2 5 5 6 3 4 3 5 1 5 6 5 3 4 2 3 1 5 4 6 4 2 3 5 2 5 2 4 4
## [2413] 6 4 1 3 3 6 5 4 6 4 2 6 2 3 4 5 4 6 4 5 4 3 3 4 4 2 5 5 2 2 6 3 6 4 3 4
## [2449] 6 2 5 5 4 2 4 4 6 6 5 3 6 5 3 3 4 4 4 4 4 2 5 6 3 3 4 4 4 6 3 4 5 5 6 6
## [2485] 4 6 6 6 3 3 4 2 6 6 4 5 3 4 5 6 5 4 2 6 4 4 4 3 4 5 4 2 4 4 4 2 6 4 5 6
## [2521] 6 6 1 6 6 5 3 5 6 1 3 2 3 4 2 4 3 3 6 6 3 4 5 5 3 3 3 2 4 3 4 4 4 4 3 2
## [2557] 1 2 2 4 5 4 4 4 2 2 2 4 5 4 6 6 4 3 2 4 4 3 4 2 5 3 6 2 3 5 5 4 4 3 5 3
## [2593] 3 4 3 4 4 5 6 2 5 2 6 2 4 2 3 4 4 4 4 6 5 5 3 3 5 4 3 4 4 5 2 4 4 1 2 1
## [2629] 4 4 3 4 2 5 4 6 6 3 4 2 2 1 5 2 4 4 3 6 2 3 5 6 6 5 2 4 4 3 3 3 3 6 4 4
## [2665] 3 5 2 6 4 6 4 5 5 4 3 3 3 6 3 4 2 4 3 4 3 3 3 5 4 2 3 1 2 4 3 4 3 4 5 6
## [2701] 4 4 3 4 4 3 2 6 6 2 2 2 5 5 3 3 5 4 4 6 4 3 3 4 4 5 2 6 4 1 6 1 6 3 4 4
## [2737] 6 5 2 5 1 4 5 4 4 2 6 3 5 5 5 2 2 4 4 4 5 2 4 3 5 6 3 4 2 6 4 2 6 4 6 5
## [2773] 6 6 5 4 4 3 4 5 4 4 4 4 5 3 4 2 4 5 5 4 3 3 2 5 6 1 1 2 6 6 5 6 5 5 6 3
## [2809] 2 2 2 4 4 5 5 4 3 4 3 3 3 3 3 2 3 2 3 4 2 4 4 1 3 3 3 5 5 4 3 4 6 5 4 1
## [2845] 5 5 5 5 4 2 5 4 4 4 5 5 6 6 6 4 4 4 2 5 2 6 6 6 6 4 3 6 4 4 2 4 5 4 3 5
## [2881] 2 4 3 4 6 2 5 5 5 6 3 5 3 3 2 6 4 3 5 4 4 4 6 3 6 2 2 2 3 4 4 4 4 2 3 4
## [2917] 3 3 6 4 5 3 4 5 3 6 3 3 5 4 6 2 6 4 4 4 6 4 5 5 1 2 3 4 2 4 5 6 5 5 6 2
## [2953] 3 4 4 4 5 4 4 4 1 5 4 2 5 5 2 4 2 3 3 4 2 5 4 2 5 5 4 5 4 3 4 2 3 3 4 4
## [2989] 2 4 4 2 4 4 2 4 3 4 5 3 3 3 4 6 3 4 3 3 2 5 5 1 4 5 4 1 5 5 5 6 2 1 2 5
## [3025] 2 5 3 4 5 2 4 4 4 3 3 3 2 4 5 3 3 3 1 6 4 4 4 3 4 4 4 6 3 4 6 4 4 3 4 5
## [3061] 3 4 5 4 5 3 1 4 4 5 6 6 5 6 6 3 6 5 6 4 4 4 5 4 4 4 5 4 6 6 4 5 2 4 2 4
## [3097] 5 4 4 5 4 4 2 3 6 5 3 4 2 2 3 5 5 3 4 5 4 4 3 5 2 1 6 2 4 5 5 5 4 4 5 2
## [3133] 5 4 3 4 2 4 2 4 2 4 4 4 4 4 6 4 1 4 4 2 6 6 3 4 6 2 5 3 4 5 4 1 4 6 5 4
## [3169] 2 3 4 4 4 4 3 4 5 4 5 6 5 1 2 2 4 3 5 3 3 3 4 2 3 2 3 5 3 4 5 6 6 3 5 6
## [3205] 6 3 6 3 6 4 4 2 6 4 3 4 5 5 6 5 6 4 4 4 6 4 4 6 5 4 4 2 4 3 4 5 4 4 2 6
## [3241] 3 6 5 3 5 2 5 3 4 1 4 2 5 6 6 4 4 4 6 4 5 5 4 4 3 3 6 4 4 4 5 4 4 2 2 2
## [3277] 3 3 4 5 2 3 6 3 2 1 6 4 4 6 3 4 4 4 3 4 5 3 5 4 6 1 5 6 3 2 3 2 4 3 4 5
## [3313] 6 4 4 6 2 3 4 1 4 4 2 4 4 3 3 5 4 4 4 5 6 3 4 6 5 3 5 6 3 1 4 3 4 4 4 4
## [3349] 3 2 3 5 5 4 2 1 2 4 2 5 4 5 3 3 6 2 5 2 5 4 5 3 4 3 3 4 4 2 3 2 5 3 3 2
## [3385] 5 2 2 3 4 5 4 5 1 5 4 4 5 3 5 6 6 3 3 4 4 6 4 4 6 5 2 4 2 4 4 5 5 6 1 4
## [3421] 4 6 3 6 4 5 5 4 6 4 2 5 5 2 6 3 3 4 5 2 3 5 3 2 3 6 4 1 5 5 4 5 3 6 6 5
## [3457] 2 4 4 6 2 6 4 5 6 5 1 4 3 1 6 5 4 1 4 4 2 1 5 5 5 6 6 4 5 4 4 1 1 6 2 6
## [3493] 3 5 3 1 6 6 4 4 5 5 4 4 2 2 6 4 2 6 2 4 2 3 5 5 4 3 4 4 3 4 3 4 4 4 4 4
## [3529] 2 3 5 4 2 5 6 3 6 5 2 4 4 1 5 4 6 6 2 5 4 3 3 1 5 4 5 4 5 3 2 3 4 4 3 4
## [3565] 3 5 3 5 4 2 2 6 4 3 4 4 5 5 5 1 2 6 3 5 5 4 4 2 6 3 2 4 4 1 6 5 4 5 5 1
## [3601] 4 3 6 3 4 3 3 2 4 2 4 4 2 2 4 6 4 4 3 4 6 1 1 6 4 6 5 5 4 6 1 2 2 5 5 4
## [3637] 2 4 4 4 3 3 4 2 5 3 4 5 4 2 5 4 2 5 4 4 4 4 6 4 1 4 4 4 3 4 6 4 4 4 5 6
## [3673] 4 2 4 2 3 4 4 5 4 4 3 5 1 4 4 3 4 4 2 3 4 4 5 3 4 4 6 3 4 4 3 2 4 2 4 4
## [3709] 4 6 5 5 4 1 1 5 4 4 2 4 6 6 5 3 4 2 5 6 5 6 3 3 3 2 4 5 4 4 4 4 3 3 4 5
## [3745] 3 6 1 1 5 6 6 4 5 5 2 4 2 3 5 2 4 3 4 4 3 6 5 2 2 5 4 2 3 3 5 3 3 4 4 4
## [3781] 6 4 4 2 2 4 6 4 5 5 3 6 5 5 2 2 4 3 6 3 3 5 3 1 6 3 3 2 3 2 4 3 4 2 3 4
## [3817] 3 6 4 4 2 4 4 6 3 4 6 4 2 5 4 1 1 1 3 5 4 2 6 3 3 4 5 4 3 5 3 4 6 4 4 4
## [3853] 3 4 2 3 1 3 6 4 5 2 5 6 3 4 4 4 4 5 4 5 5 5 3 6 1 4 5 6 3 2 2 4 2 3 4 2
## [3889] 5 4 4 6 3 5 3 4 2 4 4 3 2 2 4 4 1 4 5 1 3 6 3 4 3 2 2 2 1 3 4 4 3 4 3 5
## [3925] 1 6 4 3 3 3 4 4 4 2 4 4 4 3 4 4 3 4 6 5 3 3 4 6 6 3 3 2 4 2 5 3 2 4 2 4
## [3961] 5 4 4 5 6 2 5 2 3 3 4 2 6 5 4 4 3 6 5 2 6 2 3 4 3 2 6 3 2 3 6 4 4 2 6 4
## [3997] 2 4 4 3 4 5 2 5 4 4 3 3 4 4 4 5 4 4 2 4 3 5 5 1 5 6 6 3 3 1 2 3 5 3 4 6
## [4033] 4 4 5 4 6 5 3 4 4 3 4 5 2 5 6 2 3 4 4 4 2 5 5 3 5 2 2 6 4 4 3 2 4 6 5 4
## [4069] 6 1 2 4 3 3 2 2 5 6 2 5 2 2 4 4 3 4 3 1 4 6 1 2 2 1 2 2 3 3 6 6 3 6 4 4
## [4105] 3 2 6 2 6 3 4 6 5 6 5 4 2 4 5 2 5 3 4 1 3 4 6 2 2 4 4 2 4 4 4 6 5 2 3 4
## [4141] 4 5 4 3 3 6 6 5 3 5 3 4 4 4 5 1 3 6 6 6 4 3 4 4 4 4 4 4 3 3 4 5 2 5 4 3
## [4177] 2 3 6 3 3 3 2 3 6 4 3 2 4 3 4 3 2 6 4 4 6 2 5 3 5 2 4 5 4 3 4 2 4 6 5 3
## [4213] 3 5 5 2 3 2 5 6 4 5 3 1 6 5 3 4 4 4 4 1 4 4 2 4 5 6 6 5 2 2 4 4 3 5 4 5
## [4249] 2 5 5 4 6 6 6 1 2 5 2 5 6 3 6 3 2 4 4 4 4 6 5 3 4 3 5 4 2 5 4 4 4 4 4 6
## [4285] 6 6 5 5 4 6 5 6 5 4 4 6 5 3 2 6 2 2 6 2 3 2 2 4 3 4 2 1 2 4 6 4 5 4 4 3
## [4321] 4 4 2 4 2 4 4 3 5 4 5 4 6 2 2 4 3 2 4 4 6 3 5 4 4 2 4 5 5 4 4 4 3 5 6 5
## [4357] 5 3 4 4 4 3 2 3 6 6 4 3 3 2 4 4 2 2 6 4 4 4 3 5 6 3 6 3 2 4 5 4 3 3 2 1
## [4393] 4 3 6 2 4 6 4 3 4 4 4 4 6 3 4 6 6 3 3 4 6 5 4 3 6 5 3 4 4 2 5 3 5 3 6 5
## [4429] 3 4 6 5 6 2 5 4 5 5 2 6 4 6 3 4 3 4 4 2 4 1 6 5 4 4 4 2 5 4 3 5 6 2 2 4
## [4465] 5 2 6 4 4 2 1 2 3 4 4 4 3 3 2 4 4 5 2 4 5 4 4 2 1 4 2 3 5 3 5 4 4 3 3 5
## [4501] 6 4 3 3 4 3 4 2 6 4 2 2 5 4 4 3 3 4 4 5 3 4 6 5 2 6 3 2 5 4 2 1 6 3 2 3
## [4537] 6 4 4 4 6 4 5 2 1 4 4 3 3 3 2 2 4 3 5 5 4 6 4 4 6 6 4 5 4 3 2 2 5 3 3 3
## [4573] 3 3 4 5 6 5 5 1 6 5 2 4 3 4 4 4 1 4 4 5 2 5 1 3 3 5 5 4 4 2 4 5 4 2 4 2
## [4609] 5 2 6 4 5 4 5 4 5 3 4 3 4 5 2 5 5 5 6 5 2 6 2 4 6 4 2 2 5 4 5 3 4 5 4 3
## [4645] 5 3 6 3 3 4 4 4 3 2 2 4 4 3 3 6 2 5 1 5 6 4 6 5 1 4 2 6 6 2 2 4 4 2 2 5
## [4681] 4 2 2 6 3 4 5 4 6 6 5 3 4 4 2 3 5 4 4 5 4 5 4 4 2 4 3 3 6 6 5 6 4 2 2 4
## [4717] 4 5 3 4 5 3 5 6 6 3 5 4 5 6 5 2 3 6 3 3 6 3 6 4 3 2 4 3 4 3 5 4 4 2 4 4
## [4753] 2 4 5 5 2 3 4 4 2 2 3 3 1 4 3 6 3 5 1 6 5 6 6 5 6 2 3 4 4 5 4 4 2 6 6 4
## [4789] 4 5 5 5 2 5 4 3 2 3 4 3 1 1 3 4 4 3 2 3 4 5 2 3 6 3 4 5 6 1 6 4 3 3 4 3
## [4825] 4 2 4 2 4 4 6 1 4 3 4 4 3 3 5 4 2 4 4 5 1 4 5 5 5 3 4 6 4 5 5 2 4 3 5 3
## [4861] 4 5 4 4 4 6 5 2 1 5 5 4 3 5 5 2 3 5 4 2 3 2 4 1 1 4 4 5 4 3 3 4 3 6 3 6
## [4897] 4 3 2 4 1 5 5 4 6 2 2 4 2 4 2 2 1 4 2 2 5 4 2 3 5 4 4 3 4 4 3 2 2 4 2 4
## [4933] 4 3 4 4 6 4 5 6 1 5 2 1 3 6 5 6 5 6 4 2 5 4 4 4 4 4 4 4 4 4 3 6 2 4 4 3
## [4969] 5 4 4 2 4 6 4 5 3 4 5 3 3 4 3 2 3 4 3 4 4 3 6 2 5 6 4 5 4 3 4 3 3 5 5 1
## [5005] 3 6 4 5 1 6 5 5 2 6 4 6 6 6 5 2 4 5 1 4 1 2 5 5 4 3 6 3 4 4 4 4 5 4 4 5
## [5041] 2 4 2 2 2 4 3 6 4 2 5 6 4 6 2 3 5 2 3 5 4 2 6 2 5 3 1 2 2 4 5 2 2 3 5 3
## [5077] 5 4 6 3 6 2 2 4 5 4 3 4 5 3 2 4 3 2 3 4 2 6 2 3 6 3 4 4 4 1 5 2 3 5 1 3
## [5113] 4 2 3 2 2 6 3 1 6 4 3 6 3 6 4 2 5 3 3 4 3 6 1 4 5 6 5 4 2 1 3 6 6 5 3 5
## [5149] 2 6 6 1 5 1 5 5 4 3 4 2 4 2 4 4 4 5 2 2 3 4 5 4 2 2 3 1 6 2 6 4 4 4 6 3
## [5185] 1 4 2 2 4 4 4 5 4 2 4 4 3 2 4 4 6 4 5 4 4 3 4 3 3 5 5 4 3 4 6 4 2 5 1 3
## [5221] 4 3 5 2 3 4 4 3 4 4 3 3 3 1 4 4 2 1 2 2 3 6 3 6 5 5 3 5 2 3 3 3 4 2 2 4
## [5257] 3 6 2 1 3 5 3 5 4 4 5 4 6 6 2 6 3 5 5 4 5 2 2 3 4 4 5 4 3 4 4 2 1 3 2 2
## [5293] 4 3 4 4 2 3 2 3 3 4 3 5 5 2 4 2 2 1 6 6 5 5 2 4 6 3 3 1 6 4 4 3 5 6 2 1
## [5329] 4 2 3 3 3 5 4 2 2 6 4 6 1 4 4 3 4 4 2 5 5 4 3 4 6 6 3 6 4 4 6 6 4 3 3 4
## [5365] 4 5 2 1 3 3 6 5 3 6 3 4 1 3 5 6 4 3 3 4 4 3 3 3 2 2 4 6 4 3 3 4 4 3 4 4
## [5401] 3 6 2 5 4 3 4 5 4 5 2 3 1 2 3 5 5 6 5 2 4 4 3 4 4 1 6 1 1 4 4 3 6 2 4 2
## [5437] 1 6 4 4 2 6 5 3 1 6 4 2 4 4 3 4 6 4 3 5 2 4 4 4 3 5 5 2 5 1 4 2 2 3 3 6
## [5473] 6 1 4 4 6 5 6 2 4 4 2 4 4 5 2 5 3 4 2 4 3 1 5 3 4 5 4 6 4 3 2 4 4 5 3 3
## [5509] 2 4 2 5 3 2 5 5 3 2 4 3 4 5 3 5 2 4 5 2 3 4 4 4 2 4 2 6 4 4 4 6 4 6 1 4
## [5545] 6 1 3 5 2 2 2 4 5 4 3 4 6 3 3 1 1 1 4 5 4 3 4 3 4 2 4 6 6 6 3 5 5 4 4 6
## [5581] 3 2 6 4 4 5 6 5 5 6 4 4 3 4 5 4 4 3 4 6 1 3 4 1 5 6 4 4 5 6 4 5 3 4 4 4
## [5617] 3 4 5 3 4 6 2 4 4 4 3 2 5 4 4 5 4 2 4 6 2 3 1 4 3 5 4 3 6 5 4 6 1 3 3 2
## [5653] 5 3 6 4 1 1 5 6 4 4 2 4 5 2 5 2 2 3 3 4 6 6 4 4 5 5 6 5 3 4 4 5 5 4 5 4
## [5689] 5 6 5 4 6 4 3 5 3 5 4 5 6 1 3 5 5 5 3 2 4 4 4 5 2 3 3 5 4 4 5 4 6 2 4 4
## [5725] 3 6 4 4 4 5 3 3 4 5 2 4 4 5 5 3 4 4 4 4 6 4 5 6 2 5 4 1 4 2 6 2 4 5 4 4
## [5761] 4 6 4 6 5 5 4 3 4 3 4 4 5 3 3 2 5 6 5 6 4 1 4 5 2 4 6 4 5 4 2 5 3 4 5 5
## [5797] 5 3 6 4 4 4 6 4 6 5 4 4 3 4 2 6 3 2 2 4 3 4 4 4 4 5 5 5 5 6 2 6 4 6 5 3
## [5833] 3 4 3 4 3 6 5 4 3 6 2 4 3 4 4 4 4 5 3 4 3 5 1 3 5 5 4 4 2 3 5 6 6 2 2 6
## [5869] 2 2 3 3 2 4 2 5 6 4 1 4 3 2 4 1 4 5 2 5 4 2 4 3 5 4 1 2 3 4 4 6 5 4 5 6
## [5905] 5 4 5 6 3 3 5 2 1 4 4 4 5 5 3 5 6 2 4 2 2 3 6 4 2 4 5 5 4 2 6 3 4 2 4 3
## [5941] 2 4 4 3 6 3 2 6 2 5 4 4 2 1 6 4 2 4 2 5 6 5 3 4 2 4 5 4 3 4 1 3 2 4 3 1
## [5977] 4 5 2 5 3 3 4 1 3 4 2 3 6 4 5 3 2 5 6 3 4 2 4 5 4 5 5 6 6 2 4 4 4 4 5 3
## [6013] 2 3 4 4 5 5 4 5 3 6 4 1 4 5 4 5 2 6 4 2 5 2 4 4 2 6 4 5 3 4 2 5 3 2 3 4
## [6049] 1 4 3 3 4 3 5 4 3 2 3 2 4 3 5 4 6 6 6 2 6 3 1 4 2 2 4 5 4 6 5 3 6 5 3 1
## [6085] 6 6 6 2 6 6 5 3 5 4 2 5 4 2 4 3 6 3 5 5 6 4 4 4 2 4 4 2 2 4 5 3 3 4 4 4
## [6121] 5 5 6 2 2 4 3 1 2 4 3 4 4 4 5 4 5 5 4 3 5 3 4 5 3 5 2 6 4 6 4 5 2 4 6 5
## [6157] 4 3 1 2 2 3 2 3 5 6 2 4 3 5 6 3 2 4 4 2 5 4 6 6 3 3 6 3 4 3 4 4 5 4 4 3
## [6193] 5 4 4 6 2 6 4 3 3 4 4 4 3 6 4 6 2 6 2 2 2 5 5 4 5 3 5 4 6 3 5 4 5 5 2 5
## [6229] 2 3 6 4 4 6 5 3 2 5 4 2 4 5 3 2 2 3 4 5 1 3 2 6 4 4 6 6 5 4 2 2 4 4 4 5
## [6265] 2 5 3 4 3 4 5 2 2 6 1 4 4 5 5 2 3 2 4 3 4 5 4 5 6 4 5 4 6 1 6 4 6 3 4 3
## [6301] 4 4 3 6 4 2 2 5 3 6 5 6 6 6 4 4 4 4 4 4 3 3 4 4 4 4 3 1 5 5 4 4 4 6 6 1
## [6337] 6 2 3 3 3 5 2 4 6 4 4 6 4 1 2 2 3 3 2 4 4 3 6 4 3 1 6 4 5 1 3 5 3 4 2 4
## [6373] 4 2 4 5 2 3 3 4 3 5 4 5 5 4 2 2 6 5 2 6 1 4 2 3 6 6 5 4 6 2 5 2 3 4 2 3
## [6409] 3 4 2 3 5 3 2 4 2 4 6 4 2 4 5 4 4 1 6 3 2 3 6 6 4 2 1 1 4 4 4 3 6 4 6 6
## [6445] 3 2 3 3 5 2 3 1 3 3 6 1 6 3 6 4 5 4 4 2 4 1 6 4 2 6 5 3 2 2 5 4 2 1 4 2
## [6481] 3 6 4 2 3 3 2 4 5 5 3 5 1 4 6 4 5 3 1 3 3 3 2 4 4 3 4 3 4 5 5 4 2 4 2 5
## [6517] 5 2 4 4 4 2 3 5 4 3 1 4 5 2 2 4 2 6 3 6 3 4 3 2 4 6 3 2 3 2 4 5 6 3 5 3
## [6553] 4 5 3 5 5 4 6 3 4 4 4 6 4 4 4 4 5 6 6 3 6 3 5 4 5 3 3 3 3 5 5 4 4 1 3 5
## [6589] 5 3 4 5 4 4 4 3 3 6 3 3 4 3 4 2 4 2 5 5 4 4 4 2 6 1 3 3 5 2 3 4 5 6 5 1
## [6625] 2 3 2 3 4 4 1 6 5 4 4 6 2 6 3 6 4 3 3 3 4 5 1 4 4 5 2 3 2 2 3 5 4 5 2 5
## [6661] 4 4 5 2 1 5 3 3 3 6 5 1 5 4 6 4 4 4 4 1 5 4 4 2 5 6 6 4 3 3 4 4 6 1 2 1
## [6697] 4 4 5 5 3 2 4 3 3 5 6 6 4 4 3 4 5 6 2 4 2 5 3 6 3 4 3 3 5 3 1 3 4 4 5 3
## [6733] 6 3 5 6 4 4 5 6 4 3 2 4 4 3 3 4 5 4 4 5 6 6 2 2 5 6 1 3 3 3 3 3 3 2 5 5
## [6769] 2 3 3 5 3 5 3 4 6 2 4 6 6 6 5 2 1 3 6 6 2 2 4 3 2 5 4 4 4 5 5 4 4 1 1 4
## [6805] 4 6 4 3 2 5 4 5 6 4 5 4 5 3 5 2 3 4 2 4 6 2 4 6 4 2 3 4 4 4 1 6 4 3 2 4
## [6841] 3 5 6 4 4 2 2 6 4 4 2 2 3 2 3 6 4 4 5 4 3 5 4 2 4 2 4 4 4 4 3 4 4 5 4 3
## [6877] 2 5 4 6 4 4 4 4 5 1 6 3 3 6 4 4 4 4 2 6 4 4 2 4 4 3 4 4 2 2 5 1 5 4 5 3
## [6913] 4 2 4 4 5 3 2 4 4 5 4 4 2 6 5 5 3 6 4 2 4 2 3 3 2 5 2 3 2 4 3 3 4 4 4 3
## [6949] 5 6 6 2 5 4 3 6 5 2 6 5 5 5 4 2 5 6 5 3 5 2 2 2 3 3 4 4 2 3 3 5 4 3 3 6
## [6985] 4 4 3 4 3 3 4 6 3 2 3 4 3 2 3 4 3 2 6 4 4 1 4 3 4 4 3 3 1 4 6 5 4 1 5 4
## [7021] 2 5 6 5 4 3 4 5 3 2 4 6 6 3 2 5 2 2 4 1 3 3 5 4 5 5 3 6 3 6 6 3 4 2 6 3
## [7057] 4 3 5 3 4 2 3 4 5 3 2 6 4 4 4 4 2 6 4 6 4 4 3 5 2 1 6 5 3 4 4 5 2 2 5 6
## [7093] 4 3 3 4 6 4 2 4 2 4 2 2 4 4 2 5 5 4 4 3 5 4 4 6 2 3 2 5 4 3 6 2 3 2 2 4
## [7129] 1 4 5 4 2 4 6 5 5 3 4 5 6 4 2 4 4 3 4 4 5 5 5 2 4 4 1 2 2 5 4 4 3 2 4 4
## [7165] 6 2 4 4 3 6 4 4 6 6 4 3 4 3 4 1 3 2 6 6 3 3 2 6 6 4 3 4 1 2 5 4 4 2 6 6
## [7201] 3 6 1 4 2 6 4 6 1 2 4 4 5 4 1 4 4 4 3 4 3 4 4 2 2 4 2 4 4 2 5 6 2 4 1 3
## [7237] 3 3 4 2 2 3 4 4 3 4 5 4 4 6 5 3 5 6 5 2 2 2 4 2 4 4 4 1 4 5 4 6 6 4 4 5
## [7273] 4 4 4 4 1 6 5 4 5 3 1 4 5 6 4 4 6 4 3 3 5 5 3 3 3 2 3 5 4 3 6 3 5 2 3 3
## [7309] 2 4 6 5 6 4 3 6 4 1 5 2 3 6 5 5 3 4 5 6 4 5 2 5 6 4 2 1 3 4 4 2 4 4 1 5
## [7345] 5 5 3 6 4 4 4 4 3 6 6 5 6 2 4 3 5 5 5 4 4 2 4 4 4 2 4 3 1 3 6 4 6 1 4 6
## [7381] 3 5 3 3 5 4 4 2 4 2 4 2 3 2 3 3 6 5 4 2 4 2 4 4 4 4 5 5 5 6 2 4 2 4 4 4
## [7417] 2 3 5 5 6 3 5 2 4 4 5 6 3 3 3 1 2 4 4 4 6 5 3 5 4 5 6 6 4 6 4 2 3 2 3 6
## [7453] 4 4 1 4 4 5 5 6 2 3 4 6 5 3 4 4 6 1 4 4 4 3 4 5 4 3 2 3 3 5 6 3 4 3 4 3
## [7489] 4 1 1 4 2 4 3 6 4 3 2 4 2 3 2 5 2 2 4 6 1 6 1 6 6 6 3 6 3 1 3 1 4 3 4 4
## [7525] 4 4 4 2 5 2 6 6 2 2 2 4 4 4 2 6 4 2 5 4 4 3 4 5 3 5 4 3 4 3 6 4 2 3 3 1
## [7561] 2 5 2 2 5 5 4 2 5 2 4 5 5 5 5 4 2 5 3 2 5 4 5 4 6 5 3 6 5 4 4 4 3 2 4 4
## [7597] 2 3 6 2 5 2 2 4 3 3 2 4 6 4 4 3 2 2 1 2 1 3 5 6 4 2 2 3 4 2 4 3 5 6 4 3
## [7633] 5 4 4 6 4 4 5 4 5 3 4 4 4 5 2 4 4 3 4 6 6 4 4 4 4 6 3 4 4 3 4 4 3 3 5 2
## [7669] 4 5 6 1 4 4 4 3 4 4 2 1 6 5 4 4 6 6 4 2 5 6 3 6 2 2 4 5 3 5 5 6 5 2 5 6
## [7705] 1 4 5 4 6 1 4 5 4 4 3 3 3 5 5 4 3 6 4 5 5 3 4 4 1 3 3 3 4 2 6 3 3 3 6 2
## [7741] 3 4 4 5 3 4 4 5 3 3 4 6 4 4 4 4 5 5 3 5 4 4 2 4 5 4 5 4 6 3 5 3 3 6 4 6
## [7777] 3 2 6 6 6 1 6 6 3 3 5 5 1 4 4 2 4 4 2 5 3 4 2 4 6 4 6 3 4 2 4 3 5 5 6 4
## [7813] 4 2 3 4 5 4 2 6 6 5 4 4 5 4 4 6 4 4 2 2 5 4 2 4 5 4 5 4 3 2 4 6 6 4 4 5
## [7849] 5 5 2 5 2 4 1 5 5 4 5 6 4 4 3 4 4 4 4 5 4 2 3 3 2 6 4 3 2 6 6 2 4 2 4 5
## [7885] 2 4 5 1 4 2 3 3 4 4 6 4 4 4 1 4 4 3 2 4 3 4 5 3 4 3 2 4 5 3 6 2 4 2 2 3
## [7921] 4 4 3 4 5 1 4 5 2 5 2 2 3 4 2 5 4 6 2 3 6 1 4 4 3 2 3 4 2 4 4 4 4 1 3 2
## [7957] 2 4 1 4 4 2 3 1 2 3 3 4 4 3 4 6 4 4 3 6 3 4 5 2 6 4 4 3 4 1 4 4 5 5 3 2
## [7993] 3 4 2 1 4 3 4 5 3 5 4 6 6 3 5 2 4 2 6 5 4 6 4 2 4 5 3 5 3 3 4 6 3 4 3 4
## [8029] 4 3 4 2 3 2 3 5 4 3 5 2 2 5 2 3 3 4 3 3 4 4 3 1 3 6 4 2 2 6 4 2 4 4 5 3
## [8065] 6 6 4 2 6 5 4 3 3 1 5 4 2 3 5 2 2 4 4 6 6 4 5 1 6 3 2 2 3 4 5 3 4 4 2 3
## [8101] 4 4 4 3 2 3 4 2 3 5 3 6 4 4 4 5 4 4 3 4 6 4 5 6 5 4 4 6 6 1 4 4 3 3 6 3
## [8137] 4 2 2 5 3 3 6 2 4 4 4 5 4 5 5 3 6 4 3 5 5 4 4 3 5 3 6 2 3 4 3 1 3 3 5 5
## [8173] 6 3 4 2 4 5 6 6 4 6 6 3 1 4 5 4 1 5 1 2 4 3 1 2 4 4 4 2 5 2 3 5 3 3 2 1
## [8209] 1 4 3 4 4 6 5 4 5 2 6 1 2 4 3 5 4 3 6 2 2 4 4 2 3 5 4 4 5 4 2 4 5 4 3 5
## [8245] 3 2 3 3 6 4 4 2 4 1 5 5 6 6 5 1 4 4 5 4 4 6 4 4 3 4 4 5 5 4 4 5 4 5 4 4
## [8281] 6 3 3 4 4 6 5 2 6 4 3 4 2 4 4 1 6 4 4 4 4 4 4 1 2 2 4 5 4 4 3 2 6 6 3 4
## [8317] 4 3 2 6 4 4 4 4 4 4 5 6 4 1 4 6 2 1 3 4 4 4 4 3 4 4 6 4 4 3 4 2 5 4 5 3
## [8353] 3 4 4 4 2 4 2 5 5 4 6 1 5 4 5 4 3 2 4 3 6 4 4 4 4 6 4 3 2 2 6 6 4 5 3 5
## [8389] 5 5 5 5 4 5 5 4 4 4 5 1 1 6 6 1 1 5 2 4 5 1 6 6 4 3 4 1 2 2 4 2 5 5 4 2
## [8425] 6 2 4 5 4 4 4 5 4 4 4 6 2 4 1 2 4 3 6 2 4 5 4 2 1 5 3 4 5 3 5 6 1 6 2 6
## [8461] 4 4 6 6 3 3 6 2 2 5 4 4 4 6 3 1 3 4 3 6 3 6 1 4 3 4 2 4 4 2 3 5 5 5 4 3
## [8497] 2 4 3 4 3 6 2 6 2 2 4 5 5 2 2 3 4 6 2 5 5 4 1 3 4 4 4 4 6 5 4 4 6 3 4 2
## [8533] 4 5 5 5 4 1 5 6 2 4 4 4 3 6 6 5 4 5 2 4 5 4 1 4 4 5 5 2 4 4 3 3 6 4 5 4
## [8569] 6 6 3 5 3 3 4 6 5 2 4 6 3 4 6 2 4 4 3 1 3 2 2 5 5 3 2 5 2 4 1 1 4 5 6 4
## [8605] 5 5 2 3 3 6 5 2 5 3 4 2 4 3 3 4 4 5 3 5 1 5 4 3 1 6 5 5 6 3 4 3 4 2 4 5
## [8641] 4 6 3 4 4 4 4 2 3 5 4 3 2 3 6 4 5 2 4 2 5 4 5 3 4 3 1 5 3 3 4 4 4 5 4 1
## [8677] 4 3 2 6 5 5 4 6 3 6 5 3 4 4 5 2 2 5 4 5 1 4 4 5 5 5 4 3 4 5 5 5 4 4 4 4
## [8713] 1 4 1 4 6 4 4 5 3 4 2 4 4 4 6 4 2 3 4 6 5 6 4 5 4 4 3 3 5 6 4 4 3 2 4 5
## [8749] 2 2 5 4 3 4 4 3 3 4 4 4 2 2 2 4 3 6 6 5 6 4 6 4 4 2 3 4 4 6 1 1 4 4 1 2
## [8785] 4 2 3 5 4 2 3 3 5 4 6 5 2 4 1 6 2 3 3 5 5 6 3 4 5 4 5 5 5 4 3 2 4 3 2 5
## [8821] 6 4 4 3 6 2 5 6 4 5 5 4 2 4 4 4 4 2 5 4 6 3 5 6 4 4 4 2 3 2 3 4 4 3 2 3
## [8857] 6 2 6 1 4 3 4 5 2 4 3 6 4 4 3 1 3 5 6 3 4 6 3 5 6 6 3 4 3 2 3 2 2 4 6 5
## [8893] 5 4 1 4 1 5 5 2 4 3 4 2 4 6 5 2 2 2 6 4 6 3 1 1 5 4 3 5 4 2 3 4 5 4 4 5
## [8929] 4 6 5 5 4 4 3 2 4 6 5 2 4 5 6 3 4 4 3 4 3 3 1 3 4 4 4 6 3 1 5 4 4 5 4 3
## [8965] 3 2 6 3 2 2 5 4 6 4 2 3 4 3 3 5 4 5 5 6 3 4 3 4 5 4 2 4 3 6 2 4 4 3 5 4
## [9001] 4 3 5 5 6 4 4 4 5 1 5 4 2 4 4 2 4 3 5 6 4 3 4 6 5 4 6 2 6 3 6 5 5 3 4 4
## [9037] 3 4 4 4 3 4 4 4 4 5 1 3 4 2 4 5 4 2 3 3 6 6 6 4 2 4 5 4 5 5 5 1 5 4 3 1
## [9073] 6 3 4 5 3 4 3 6 4 4 3 4 3 2 3 1 4 2 2 5 3 4 6 2 6 3 3 4 6 3 6 3 4 4 1 3
## [9109] 5 5 4 3 1 3 3 4 4 3 6 4 5 3 4 6 3 1 6 2 2 5 1 3 2 4 5 4 3 2 5 4 6 2 4 5
## [9145] 4 4 5 2 3 6 5 4 2 5 4 4 4 5 3 3 4 4 1 6 4 1 3 2 5 4 2 4 2 3 2 2 3 4 5 6
## [9181] 3 6 3 1 4 2 4 4 3 4 4 3 5 5 3 6 6 4 3 6 4 5 3 3 2 4 3 2 4 1 2 4 4 6 4 4
## [9217] 2 6 6 6 4 4 4 4 4 4 5 2 4 6 5 5 3 1 1 2 5 2 5 4 2 6 5 2 4 5 1 5 4 4 4 4
## [9253] 2 4 5 4 4 1 3 5 2 2 5 5 1 6 3 4 6 4 6 5 1 3 5 2 3 6 4 4 1 4 4 1 3 6 5 4
## [9289] 3 5 5 5 1 5 6 6 5 6 3 4 6 4 5 6 2 4 5 6 4 3 4 4 2 6 4 3 4 2 4 3 5 4 2 4
## [9325] 5 1 4 5 6 2 2 6 2 5 1 5 3 4 4 4 3 6 4 3 3 6 4 2 3 3 6 5 3 4 4 5 4 1 4 6
## [9361] 3 4 2 3 3 3 4 4 2 1 5 2 5 2 4 4 4 5 4 2 6 5 6 3 4 5 6 6 4 5 6 5 6 4 4 4
## [9397] 5 4 3 3 3 5 4 4 5 5 2 4 6 3 5 2 4 1 4 4 2 4 2 3 4 6 5 2 6 5 4 2 3 2 2 1
## [9433] 3 3 6 4 4 6 1 4 3 5 4 5 5 3 5 6 5 4 3 5 4 5 2 2 4 2 2 4 2 3 4 4 4 5 3 4
## [9469] 3 4 4 4 4 1 4 6 6 4 4 4 5 4 2 5 2 5 3 3 5 4 3 2 6 6 5 6 4 2 4 4 2 4 2 5
## [9505] 2 2 2 2 6 4 3 5 6 3 1 4 1 1 4 6 3 4 2 3 6 5 4 5 4 6 3 4 3 4 2 5 4 3 4 4
## [9541] 4 1 3 2 4 5 3 4 6 4 2 4 4 4 6 3 4 3 1 3 3 4 3 6 5 5 1 3 5 4 5 6 5 6 1 4
## [9577] 3 2 2 4 4 4 5 5 2 3 3 5 4 3 5 3 2 4 5 1 5 3 4 3 4 3 6 4 3 3 3 2 4 2 3 6
## [9613] 4 5 4 2 2 5 2 4 6 2 5 4 4 4 4 4 2 1 4 4 6 4 3 6 4 3 4 3 3 3 4 4 2 5 6 4
## [9649] 3 4 5 5 5 4 3 2 3 4 5 2 5 2 4 5 6 3 1 5 3 4 6 4 4 5 6 2 2 4 6 5 4 5 3 5
## [9685] 3 5 4 5 5 6 4 4 6 3 2 1 4 5 5 4 6 4 4 4 3 4 6 5 4 3 2 2 3 6 4 4 5 4 1 1
## [9721] 3 3 6 5 2 3 5 4 5 3 4 3 5 4 1 3 5 5 3 3 4 3 4 2 5 2 4 2 4 3 2 4 4 1 3 3
## [9757] 4 3 3 5 5 3 2 2 1 5 4 3 5 4 4 3 6 4 6 2 5 6 4 4 5 1 3 3 6 4 6 5 6 6 4 6
## [9793] 5 1 6 3 4 4 2 4 3 6 2 4 5 4 6 6 4 6 6 4 3 4 4 3 4 3 2 1 4 2 6 2 1 2 5 3
## [9829] 3 2 2 6 5 6 5 4 4 5 2 5 4 3 5 5 6 4 5 3 1 6 6 3 5 3 5 6 6 1 4 2 5 1 3 6
## [9865] 4 4 2 5 4 3 3 4 4 4 4 6 4 5 6 6 1 2 2 3 3 2 5 4 5 5 5 4 4 4 6 3 4 6 5 5
## [9901] 6 2 2 4 4 2 1 5 1 3 5 2 6 4 6 2 2 4 5 4 4 6 5 3 4 1 5 4 4 5 2 2 1 5 5 4
## [9937] 2 6 4 2 3 2 4 4 5 3 5 4 4 3 2 4 2 6 2 4 6 4 6 2 2 3 4 4 1 4 5 5 3 1 4 6
## [9973] 5 4 5 4 5 6 3 4 3 4 3 2 5 3 2 3 1 3 3 5 4 4 5 3 2 6 1 4 6 4 3 4 4 5 4 4
## [10009] 6 4 1 1 1 6 5 4 4 4 6 3 4 3 6 4 4 3 1 1 5 4 2 3 3 4 4 4 5 3 4 4 4 4 2 2
## [10045] 6 5 3 4 3 2 1 4 5 2 3 6 4 5 6 2 2 2 4 5 2 2 6 2 5 5 3 4 5 4 4 2 4 4 5 5
## [10081] 4 2 6 4 3 5 2 3 3 4 4 3 2 3 4 3 4 3 6 5 3 3 5 5 4 5 1 6 6 3 2 3 4 4 6 2
## [10117] 6 4 6 4 4 6 3 3 1 2 5 5 4 1 6 3 4 4 4 2 4 4 4 5 3 3 3 4 3 2 2 5 4 6 4 4
## [10153] 4 2 5 6 6 5 4 5 6 4 5 6 4 4 4 4 4 4 5 4 5 4 5 2 5 5 2 3 4 4 6 4 2 1 4 4
## [10189] 2 4 4 6 6 5 3 4 6 4 3 2 5 4 5 3 2 2 4 4 4 6 4 6 5 4 4 1 3 3 4 5 5 4 3 5
## [10225] 6 4 4 6 4 2 5 4 4 4 5 5 3 1 6 4 5 4 5 2 6 2 1 6 3 2 1 4 6 3 4 5 2 5 4 5
## [10261] 4 4 4 3 3 5 3 3 3 5 5 3 1 5 1 3 4 4 1 5 5 2 5 4 4 5 6 3 4 3 4 4 3 4 4 4
## [10297] 5 6 5 6 4 2 2 6 4 5 4 6 4 2 4 4 1 4 5 3 4 3 4 4 6 2 5 3 3 4 5 3 6 5 4 3
## [10333] 4 4 4 4 3 6 4 1 6 5 5 4 2 2 6 6 5 5 5 4 4 2 2 2 4 6 5 6 4 6 2 4 4 5 3 5
## [10369] 3 2 4 4 2 3 4 6 4 3 3 2 4 5 4 6 2 3 4 2 4 6 1 4 4 6 3 5 3 6 4 1 1 4 5 3
## [10405] 2 6 1 4 5 5 4 5 2 1 3 6 3 2 5 4 5 3 4 4 5 5 3 6 5 4 4 2 5 3 4 5 1 4 3 5
## [10441] 3 5 4 4 3 2 1 3 2 6 6 5 4 6 2 4 5 6 4 4 1 4 3 4 2 3 4 5 4 3 4 4 3 4 4 3
## [10477] 3 6 4 1 2 6 2 6 6 4 3 2 6 6 5 4 4 1 5 4 4 4 5 3 4 3 3 3 2 5 2 4 3 5 3 2
## [10513] 6 1 2 1 3 6 4 3 3 3 5 4 3 2 3 2 5 6 4 3 4 4 1 5 4 4 6 5 6 6 4 4 4 4 4 5
## [10549] 5 2 3 3 4 2 4 4 4 3 3 4 4 4 3 2 3 4 3 4 4 4 3 4 2 3 2 3 4 4 2 3 3 2 6 2
## [10585] 6 4 4 4 5 6 4 4 4 3 3 5 2 3 3 5 3 3 3 2 4 3 5 4 4 3 5 6 3 4 4 1 4 4 2 5
## [10621] 4 4 6 4 4 4 6 1 4 5 6 5 3 4 3 6 1 3 6 4 4 3 4 1 4 3 4 4 1 4 3 4 5 4 4 3
## [10657] 3 3 4 3 6 2 5 5 4 4 4 2 4 2 2 6 5 4 5 4 3 4 6 5 2 4 5 1 6 1 4 4 2 4 6 3
## [10693] 4 5 2 3 2 3 2 2 3 4 3 5 5 2 4 4 2 4 6 6 5 4 3 4 4 6 3 3 4 4 5 4 2 3 4 3
## [10729] 4 4 2 5 4 4 2 5 3 1 5 5 5 5 2 2 6 4 4 4 4 4 1 3 5 6 5 2 4 6 1 3 1 2 4 5
## [10765] 4 4 6 2 1 4 4 3 4 4 4 1 2 4 6 3 6 4 1 6 5 4 5 3 5 5 4 4 3 4 2 6 4 2 4 3
## [10801] 4 4 3 2 2 2 5 2 5 4 5 4 5 4 3 3 3 5 4 4 4 5 6 6 5 4 6 2 5 3 5 3 3 4 4 2
## [10837] 2 2 4 4 4 5 5 2 4 3 4 4 4 5 3 4 4 2 4 3 2 3 4 4 4 2 3 5 3 4 4 2 5 4 4 5
## [10873] 5 4 5 5 6 4 6 4 5 4 2 4 5 4 3 4 6 2 6 3 3 3 2 3 4 3 4 3 2 4 6 5 2 5 2 6
## [10909] 3 6 4 1 2 1 6 3 4 4 4 4 2 6 3 5 4 5 4 3 6 4 4 5 3 5 5 4 4 4 1 4 1 1 4 6
## [10945] 4 6 6 3 4 2 4 2 4 4 4 3 4 6 5 6 3 4 1 6 4 3 6 2 1 3 5 3 3 4 3 6 6 1 2 4
## [10981] 1 4 3 2 2 3 3 1 4 6 3 2 4 4 4 4 5 5 6 2 4 5 1 6 4 5 4 5 4 4 3 6 2 5 4 4
## [11017] 1 4 5 4 4 3 3 4 4 6 4 4 5 3 6 3 5 6 5 1 1 3 3 4 3 3 5 6 2 3 4 6 2 6 4 5
## [11053] 6 4 6 2 2 5 5 3 3 2 3 6 2 3 5 4 4 5 3 2 5 4 5 4 6 3 3 6 5 5 3 3 4 3 5 3
## [11089] 1 4 5 4 4 3 2 4 5 3 4 4 3 3 2 2 5 4 2 4 4 5 3 4 6 4 5 4 1 5 5 5 5 4 4 5
## [11125] 2 4 3 3 2 2 3 5 5 4 1 6 5 4 4 4 2 3 3 4 3 3 3 5 2 4 1 5 6 3 2 2 3 4 4 4
## [11161] 3 3 1 3 2 2 3 4 5 4 4 4 2 2 2 5 3 4 6 2 4 4 2 6 6 5 1 4 3 6 3 3 3 4 4 5
## [11197] 4 5 3 4 2 5 4 3 3 4 3 2 4 5 2 5 3 3 2 4 4 4 1 4 2 5 3 3 5 6 5 5 2 3 5 4
## [11233] 2 3 4 3 6 6 5 4 6 4 4 4 6 3 4 3 4 5 6 5 6 4 3 5 6 1 2 6 2 3 2 4 5 5 2 5
## [11269] 5 6 4 3 3 4 4 4 2 3 3 4 6 6 1 4 6 2 2 4 3 2 2 4 3 2 2 5 4 4 5 4 6 4 3 2
## [11305] 4 4 2 3 6 4 5 4 6 2 4 2 4 2 2 2 6 2 6 4 5 3 4 3 6 5 4 4 5 5 4 3 4 2 4 5
## [11341] 2 6 3 6 4 2 6 5 3 4 6 1 4 6 6 1 6 4 4 4 3 6 4 6 2 4 4 4 2 4 3 6 4 4 6 4
## [11377] 4 4 6 3 4 2 2 3 3 4 2 5 5 3 5 4 2 6 4 4 6 6 1 6 1 5 5 6 3 3 5 4 5 1 1 3
## [11413] 1 3 4 3 4 6 3 4 4 4 4 1 6 2 3 3 4 4 2 4 4 5 4 3 2 2 4 2 4 4 4 4 3 4 4 4
## [11449] 2 3 5 4 4 3 6 5 6 4 5 5 4 1 5 1 3 3 6 6 4 2 5 5 3 5 6 4 3 6 6 5 6 4 4 2
## [11485] 4 3 1 5 4 1 3 3 3 2 4 4 1 6 5 2 4 1 3 4 4 3 6 6 2 6 3 3 4 3 4 4 4 3 2 1
## [11521] 5 6 4 2 4 6 4 4 4 2 4 2 5 6 5 3 2 3 6 2 4 4 1 1 6 6 5 2 6 5 2 3 3 1 1 2
## [11557] 5 6 5 5 6 6 6 2 2 5 5 6 4 4 3 4 4 4 5 4 1 2 3 4 5 6 4 2 6 6 3 4 4 4 4 3
## [11593] 4 4 6 4 5 3 3 1 3 4 4 5 1 3 1 4 4 4 6 4 5 5 4 3 5 5 5 2 4 4 5 4 4 6 3 4
## [11629] 2 2 2 6 5 6 6 3 6 4 4 6 2 2 4 3 5 4 2 4 4 6 1 6 2 2 3 6 5 6 4 4 5 3 2 1
## [11665] 6 5 3 6 5 4 5 5 1 4 4 3 4 5 3 2 5 6 5 5 4 2 2 4 3 6 2 2 6 5 3 1 1 6 6 4
## [11701] 6 3 3 3 5 2 3 4 5 4 4 4 3 3 4 2 5 2 4 4 4 6 5 4 5 4 3 3 4 3 4 3 4 6 3 3
## [11737] 4 3 5 2 5 2 1 2 4 3 5 4 3 4 5 4 3 6 4 6 3 2 2 2 5 3 3 4 5 3 4 3 6 2 2 4
## [11773] 4 5 3 1 3 6 5 6 6 4 6 4 5 4 3 4 2 4 3 6 3 6 4 5 6 5 4 4 6 5 4 5 5 4 5 4
## [11809] 5 3 4 6 3 3 2 2 3 4 5 6 3 3 4 4 4 3 4 3 4 4 4 4 6 4 4 2 6 3 3 4 2 3 2 3
## [11845] 5 6 3 5 5 6 4 5 1 3 6 6 4 5 4 1 2 1 2 3 2 3 4 3 2 5 5 3 2 4 4 2 4 4 5 4
## [11881] 2 5 4 5 4 3 5 1 3 2 4 2 3 4 3 3 4 5 5 3 5 1 2 4 2 4 5 2 4 6 4 1 4 4 5 4
## [11917] 4 3 3 4 6 4 2 3 4 4 2 4 1 2 4 5 2 2 4 3 4 5 4 4 5 2 3 6 5 3 5 5 5 3 6 6
## [11953] 6 2 4 4 5 6 4 3 5 4 6 4 4 2 3 1 3 6 4 6 4 4 6 3 5 4 5 4 4 4 5 1 5 3 4 6
## [11989] 5 4 4 4 2 5 4 2 2 5 2 3 5 6 6 6 2 3 5 4 5 1 6 2 5 2 4 4 2 2 4 2 4 5 4 2
## [12025] 2 4 4 4 5 4 6 3 4 3 5 4 3 2 4 4 5 6 2 4 5 3 2 5 2 4 4 5 4 4 4 4 6 2 3 6
## [12061] 4 4 3 6 2 1 3 4 6 3 3 3 4 3 6 2 4 4 6 4 4 4 3 4 6 4 6 6 3 2 4 3 2 2 1 4
## [12097] 5 6 4 5 2 3 6 5 6 4 5 4 5 4 4 3 3 3 3 3 3 6 4 5 4 4 6 5 4 3 2 5 6 2 4 3
## [12133] 4 4 4 4 3 4 2 3 2 4 6 5 3 2 4 6 4 6 6 4 4 1 2 3 3 4 3 6 3 2 4 5 3 2 4 4
## [12169] 3 4 4 4 2 6 4 1 2 3 3 4 5 4 2 2 6 4 6 3 5 6 6 5 4 2 5 4 6 5 4 3 4 2 6 4
## [12205] 5 5 6 1 4 5 2 4 4 5 4 6 5 3 2 2 4 6 5 5 2 3 3 5 3 2 3 4 4 5 5 4 2 3 4 6
## [12241] 4 2 6 5 5 6 4 6 3 5 4 4 4 4 4 3 4 3 4 4 4 6 4 5 1 4 1 4 1 4 5 6 4 4 3 5
## [12277] 5 5 4 2 4 3 6 4 3 6 6 3 3 4 6 4 5 6 2 5 4 4 3 4 3 2 5 4 5 4 4 4 5 2 4 3
## [12313] 4 6 5 5 6 5 5 3 5 4 2 3 6 5 6 4 5 2 5 4 3 6 5 4 4 4 4 2 4 5 4 3 5 5 6 6
## [12349] 2 3 4 1 4 4 4 5 5 3 4 5 1 3 4 2 4 5 6 4 4 4 4 4 4 6 4 1 5 3 4 4 5 3 3 3
## [12385] 2 2 3 5 4 4 5 3 3 4 1 2 1 3 2 5 3 5 6 4 6 4 3 5 3 3 2 5 2 5 4 2 4 3 3 4
## [12421] 4 3 1 5 5 5 4 1 4 4 4 3 4 4 4 2 6 3 6 4 5 2 5 5 6 4 4 4 2 1 5 4 6 3 5 4
## [12457] 2 1 5 6 3 1 3 6 2 4 4 4 3 3 2 4 5 4 2 4 4 6 4 2 4 5 3 6 5 4 6 4 6 4 5 3
## [12493] 5 6 4 2 4 2 5 4 5 4 4 1 2 3 3 2 4 6 1 4 3 4 3 6 6 4 1 3 1 4 3 6 6 6 3 1
## [12529] 2 4 2 2 3 4 5 5 4 1 4 2 5 4 1 2 4 6 6 4 1 3 5 4 6 4 3 5 4 4 4 4 4 4 2 3
## [12565] 6 4 4 2 4 5 3 2 6 4 4 5 2 4 2 4 1 6 3 5 2 3 5 3 4 5 5 5 4 5 5 5 3 6 4 6
## [12601] 6 5 2 2 2 4 6 5 3 2 4 2 3 2 4 4 3 6 4 4 3 4 2 5 4 6 6 3 4 3 3 4 5 6 4 6
## [12637] 6 4 2 4 5 3 2 3 4 4 4 2 1 3 3 4 6 6 2 2 3 4 2 4 4 3 2 2 4 4 1 4 5 4 2 3
## [12673] 4 4 4 1 5 2 3 4 4 5 2 2 5 4 4 5 5 4 5 5 2 4 4 2 4 5 3 4 2 3 3 5 6 5 3 3
## [12709] 5 4 2 6 3 2 2 2 2 3 2 5 4 5 4 3 2 2 5 3 2 2 6 6 2 3 6 2 4 6 4 2 1 4 2 1
## [12745] 4 4 6 4 4 4 3 2 2 2 2 5 4 5 3 5 2 3 3 3 3 3 4 2 4 4 4 2 3 5 4 4 3 6 5 6
## [12781] 6 6 4 1 6 5 5 3 6 2 4 4 5 3 3 4 4 6 3 3 2 4 4 6 2 2 6 3 4 3 1 3 2 3 3 4
## [12817] 3 2 3 6 2 3 3 3 4 4 1 2 4 3 2 2 4 4 4 4 4 3 4 4 5 4 6 4 4 6 2 5 4 5 4 2
## [12853] 4 3 2 2 4 6 4 1 3 6 3 2 3 6 4 4 2 6 3 3 4 3 2 4 3 6 1 5 3 4 5 5 4 6 6 2
## [12889] 4 2 6 5 6 4 3 4 2 2 6 4 5 3 5 4 4 3 4 1 4 3 3 4 6 5 6 3 5 1 3 4 5 5 4 2
## [12925] 4 4 4 3 5 3 6 4 4 4 6 6 5 4 5 4 5 4 4 5 2 5 4 5 4 5 5 2 5 2 1 4 2 4 1 4
## [12961] 5 5 2 3 6 3 6 4 5 4 2 5 5 4 5 4 2 1 4 4 6 4 4 5 2 4 3 5 5 4 2 2 1 4 4 3
## [12997] 4 4 2 3 3 6 2 2 6 4 4 6 3 2 3 5 3 5 3 5 3 4 2 3 5 4 4 2 4 3 4 2 5 5 5 4
## [13033] 4 4 4 4 2 6 2 4 5 5 5 5 3 4 6 4 5 5 4 5 3 4 3 3 5 2 6 6 5 2 2 6 4 3 2 4
## [13069] 3 3 4 5 6 4 4 4 6 6 5 4 4 5 4 3 3 5 2 4 2 4 5 5 4 5 3 3 5 4 4 3 3 4 4 2
## [13105] 4 5 3 5 2 2 4 4 4 2 1 2 2 4 5 4 2 4 6 4 4 5 2 6 2 4 3 5 3 3 4 2 2 1 4 5
## [13141] 3 6 5 4 1 3 4 4 4 2 5 6 5 6 5 5 5 3 6 6 3 4 6 5 3 4 1 3 1 3 6 2 5 6 3 1
## [13177] 3 3 5 1 3 1 4 3 4 2 3 6 4 5 3 3 2 3 4 4 6 5 2 4 5 4 2 2 3 4 2 3 6 5 6 6
## [13213] 1 5 6 3 1 5 4 3 3 5 3 4 6 2 3 4 4 4 3 4 2 5 5 4 5 6 2 4 3 4 6 4 4 4 5 4
## [13249] 6 4 5 5 4 5 4 3 3 4 4 4 4 6 2 4 3 4 4 4 2 4 3 4 4 3 3 4 4 6 5 6 6 6 5 1
## [13285] 3 2 3 5 6 4 3 4 2 4 5 5 4 3 3 2 5 6 5 3 4 6 4 3 3 5 2 6 3 2 4 4 4 3 5 4
## [13321] 3 3 5 2 4 5 3 4 2 2 4 4 4 4 6 4 3 4 4 3 5 4 3 5 3 4 2 4 2 2 3 2 4 2 2 4
## [13357] 4 4 4 4 6 5 4 1 6 2 6 5 5 3 2 6 2 1 5 6 2 3 5 5 2 4 2 4 4 4 2 4 4 4 5 5
## [13393] 2 5 3 3 6 4 2 1 5 4 4 3 5 3 4 6 3 5 5 3 4 4 4 4 5 3 4 3 5 6 6 2 4 1 6 4
## [13429] 5 6 4 4 5 5 4 3 5 4 4 4 4 4 5 3 4 4 3 3 2 4 3 1 5 5 6 3 3 6 5 3 5 4 3 5
## [13465] 6 5 4 6 3 5 3 2 4 4 4 4 2 3 4 3 3 4 1 3 3 3 2 4 4 3 4 3 2 2 4 4 4 3 3 5
## [13501] 6 2 3 6 3 4 4 4 5 5 4 3 3 4 4 4 3 2 4 3 3 5 5 6 6 4 4 4 3 4 6 4 4 4 3 4
## [13537] 4 4 6 4 4 4 2 5 3 4 4 4 4 1 2 4 2 5 5 4 6 4 4 6 1 5 2 2 4 5 6 3 5 4 4 3
## [13573] 4 6 3 2 4 2 4 2 4 3 4 4 5 3 3 4 4 3 1 4 4 4 5 4 6 5 2 4 2 4 5 4 6 5 2 1
## [13609] 6 4 2 5 4 4 5 2 4 2 5 3 3 3 5 3 6 6 6 4 4 6 2 3 4 6 5 1 2 2 3 4 2 6 5 5
## [13645] 6 2 5 4 3 2 6 4 3 5 2 3 5 2 5 4 2 3 5 5 3 6 5 4 2 2 2 4 5 4 1 5 4 6 1 3
## [13681] 4 3 1 4 5 4 4 5 4 5 2 4 6 4 4 4 4 4 3 3 4 3 4 5 3 4 5 4 3 3 4 2 6 2 4 5
## [13717] 6 4 4 1 5 4 5 3 4 4 5 6 1 1 6 5 6 3 4 5 6 3 5 4 4 2 3 4 2 2 5 4 4 2 2 2
## [13753] 4 2 4 2 2 4 2 4 4 5 2 6 6 5 4 4 2 5 3 1 5 5 3 4 4 4 5 5 2 4 6 2 4 1 6 6
## [13789] 3 2 4 3 5 4 6 4 3 5 4 2 2 5 6 5 6 4 4 5 4 6 4 5 2 3 6 4 3 3 2 3 3 3 3 3
## [13825] 4 3 6 2 6 3 5 3 6 5 1 6 5 4 4 4 4 3 3 6 4 2 4 6 3 6 6 4 2 6 6 5 6 5 2 6
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## [13897] 5 4 4 4 6 4 4 4 6 5 4 6 2 6 4 4 6 4 2 4 2 4 5 6 4 3 3 2 3 1 5 4 3 1 3 5
## [13933] 6 1 6 5 4 6 5 4 3 4 2 6 4 2 3 6 2 6 4 5 5 4 2 4 2 3 3 5 2 4 4 3 6 2 6 5
## [13969] 3 3 1 3 3 5 3 4 4 2 4 1 6 3 3 4 4 6 6 4 4 2 3 4 6 4 4 3 1 2 3 3 5 4 2 3
## [14005] 4 5 5 3 5 3 3 6 4 4 4 4 5 4 5 4 4 3 4 5 4 5 6 2 4 2 5 6 3 4 5 3 4 5 4 4
## [14041] 3 4 4 2 3 4 2 2 2 4 6 2 4 2 5 6 3 5 5 5 3 6 4 2 2 4 4 5 3 6 3 6 5 3 4 3
## [14077] 2 5 4 3 3 5 3 6 3 4 3 2 3 4 6 5 4 5 5 3 4 5 4 2 4 4 5 3 5 3 3 2 3 4 3 5
## [14113] 3 4 4 4 4 4 4 6 4 5 3 4 3 3 2 1 2 3 3 2 4 4 5 4 3 4 6 5 3 3 4 2 4 6 4 2
## [14149] 2 2 6 3 3 4 1 4 3 5 2 3 4 4 4 2 5 3 4 3 5 3 2 1 6 2 3 5 4 3 6 2 3 3 4 2
## [14185] 6 4 2 3 2 2 2 4 4 2 4 4 3 4 5 5 3 3 2 4 5 2 1 2 2 6 4 6 4 4 3 2 6 3 4 6
## [14221] 3 2 4 3 3 4 3 1 4 2 3 2 3 5 1 3 3 6 2 1 4 4 5 6 2 3 5 4 3 5 4 5 5 4 5 3
## [14257] 2 5 5 5 6 1 4 6 2 3 4 6 4 3 5 5 4 3 5 4 6 4 4 4 4 4 5 3 4 4 3 3 3 5 6 6
## [14293] 1 6 4 5 2 3 3 3 4 4 3 6 2 6 2 4 2 2 2 4 4 4 1 4 3 2 5 5 5 6 6 4 3 6 5 3
## [14329] 4 4 4 3 4 2 5 5 2 3 4 4 4 5 6 5 4 6 3 6 6 2 3 6 2 6 5 6 5 6 6 1 1 3 6 2
## [14365] 4 2 4 4 2 4 6 4 4 4 5 6 5 2 2 4 6 4 3 6 3 3 5 1 5 4 6 4 2 4 5 4 6 1 5 6
## [14401] 4 5 2 6 4 3 4 5 4 4 5 2 4 3 1 1 6 3 5 5 5 1 1 5 6 2 3 5 4 6 5 3 2 3 2 5
## [14437] 3 3 1 4 2 5 4 3 4 3 6 2 1 4 6 5 4 4 6 4 4 4 6 1 4 6 4 4 4 2 5 2 4 2 6 3
## [14473] 3 4 4 4 6 4 4 4 4 2 5 4 4 2 3 4 4 5 2 1 4 3 4 2 4 3 5 4 3 2 4 2 3 2 2 2
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## [14545] 6 4 2 2 3 5 5 5 5 6 3 5 4 3 6 4 2 4 4 5 3 5 1 4 3 4 2 4 2 3 2 4 3 4 5 4
## [14581] 6 2 5 6 4 3 4 4 2 3 3 4 6 6 4 5 4 2 2 2 3 5 1 5 4 4 5 6 5 5 2 3 2 5 4 4
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## [14653] 5 6 5 6 5 5 2 4 2 3 4 6 3 4 5 4 5 6 5 3 5 3 4 4 4 2 4 3 4 6 2 5 1 3 6 1
## [14689] 4 5 4 6 5 6 4 3 3 2 5 4 6 3 3 3 4 3 5 5 3 2 1 2 4 3 2 5 5 3 2 5 4 5 4 5
## [14725] 3 4 2 5 3 4 2 4 2 5 4 1 3 4 6 4 2 5 5 1 4 2 4 3 4 4 3 4 1 5 3 2 2 4 5 4
## [14761] 3 5 3 3 3 4 4 2 3 3 2 2 2 6 4 5 3 5 3 6 3 4 5 4 5 3 6 5 3 1 2 5 6 2 4 4
## [14797] 4 2 1 5 5 2 6 3 4 4 4 6 6 5 4 1 2 2 3 4 3 3 4 4 4 2 4 3 4 4 6 4 1 6 5 5
## [14833] 5 2 4 3 2 6 2 5 4 4 2 4 5 5 2 5 4 4 6 3 4 3 2 5 2 5 1 4 3 5 3 3 5 4 5 3
## [14869] 6 2 5 6 3 4 3 3 4 5 3 4 5 2 3 4 6 5 6 4 5 2 6 5 4 3 3 3 4 4 4 2 4 3 4 5
## [14905] 2 4 1 6 5 3 1 6 4 2 3 2 5 6 6 3 4 4 4 3 3 4 2 4 6 3 4 3 5 1 5 4 3 4 3 5
## [14941] 5 3 1 3 4 5 5 4 4 6 4 2 5 3 2 2 3 4 6 3 4 4 6 4 5 6 6 6 1 5 1 6 5 3 4 6
## [14977] 4 3 4 4 4 3 6 2 4 5 6 3 4 4 3 6 6 3 3 2 5 4 6 4 5 5 5 6 2 2 2 4 4 6 5 5
## [15013] 5 5 5 2 2 3 1 5 5 3 6 1 2 5 3 3 6 2 4 3 1 4 1 6 4 2 5 3 5 4 2 3 5 3 3 4
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## [15085] 4 4 5 2 3 4 4 5 4 2 3 1 3 6 4 2 2 1 2 4 4 2 3 3 4 2 4 6 6 3 5 6 4 4 4 2
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## [15157] 4 3 4 6 4 4 6 5 2 6 4 1 5 3 4 4 4 5 3 5 5 5 4 6 4 2 1 1 4 4 2 6 2 5 5 2
## [15193] 3 4 5 5 4 5 2 2 4 3 5 4 6 2 4 6 6 5 3 5 5 1 4 5 4 2 2 2 4 2 1 6 2 3 4 3
## [15229] 6 4 6 5 1 4 2 3 6 6 6 3 6 3 3 6 4 5 4 4 4 4 4 4 4 6 4 3 4 2 3 4 4 3 2 4
## [15265] 5 1 4 4 5 6 3 5 1 3 2 6 6 4 6 6 4 4 5 5 2 6 6 4 3 6 3 6 6 3 4 4 4 2 6 3
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## [15337] 6 4 2 2 6 5 5 5 3 6 4 5 6 3 5 3 4 3 4 3 2 2 5 4 4 4 3 4 3 4 6 4 4 2 4 5
## [15373] 4 3 3 5 3 4 2 3 1 4 4 5 3 6 3 3 2 3 4 6 4 4 2 2 3 6 4 3 2 2 2 2 2 3 3 3
## [15409] 4 4 4 6 2 4 4 2 4 4 1 4 6 4 1 4 4 2 4 4 5 2 4 2 4 4 2 3 3 6 4 2 5 3 2 6
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## [15481] 6 2 2 4 2 4 4 6 6 1 4 4 2 3 1 6 1 5 2 3 4 5 6 3 6 4 3 2 6 6 2 4 4 4 4 4
## [15517] 5 4 4 5 2 5 2 3 4 4 4 3 4 5 4 2 4 3 4 5 2 1 2 2 6 5 3 3 6 4 5 5 4 5 6 6
## [15553] 5 3 5 6 6 4 6 5 4 6 5 6 4 5 3 6 1 5 3 5 2 4 5 4 5 5 3 6 3 3 6 3 4 2 2 3
## [15589] 4 3 3 2 6 4 4 1 6 4 4 1 4 4 6 3 4 3 6 5 6 2 3 5 1 5 4 4 4 4 5 6 3 2 4 4
## [15625] 2 6 5 2 4 3 2 4 3 3 2 2 4 5 3 3 4 2 3 5 2 1 5 5 6 4 6 6 6 6 5 5 4 4 2 3
## [15661] 5 1 5 5 4 4 2 3 3 4 4 5 4 4 2 6 6 6 5 6 3 3 2 3 6 3 5 4 5 4 4 4 4 2 3 5
## [15697] 2 5 5 3 5 3 4 6 5 3 4 5 3 4 5 5 3 5 4 6 4 5 4 2 6 5 4 3 4 3 4 5 5 5 5 1
## [15733] 4 4 4 5 2 6 4 3 5 3 6 4 6 4 4 4 4 3 4 4 4 5 2 5 5 3 5 4 4 4 5 1 6 2 5 2
## [15769] 3 3 3 4 1 4 1 6 2 4 4 4 6 5 4 5 5 6 4 2 4 3 5 3 3 5 6 4 4 4 3 1 4 1 4 5
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## [15841] 3 2 5 6 4 6 6 4 6 4 4 2 6 4 4 4 5 1 4 3 3 4 6 5 4 4 5 1 4 3 2 4 5 6 3 4
## [15877] 4 5 3 4 6 3 4 4 3 4 3 4 3 3 4 4 3 3 5 2 2 6 2 6 6 2 1 4 4 6 1 6 6 4 5 3
## [15913] 6 4 4 3 4 4 3 4 2 1 4 3 3 6 4 5 5 4 4 1 3 6 2 3 6 3 5 4 5 3 4 3 6 4 3 3
## [15949] 4 3 5 5 2 4 6 4 3 1 5 4 2 2 2 5 4 5 4 4 2 5 5 4 2 5 4 3 2 6 4 6 5 3 2 4
## [15985] 4 1 5 2 2 4 5 5 1 4 4 4 5 4 4 3 5 6 5 6 3 3 2 4 4 4 3 4 6 3 5 3 4 4 4 5
## [16021] 4 5 6 6 6 5 5 4 5 3 5 4 6 5 2 3 4 5 5 6 4 3 6 4 2 4 6 4 3 5 1 6 2 4 4 3
## [16057] 1 2 6 4 4 4 3 6 3 5 5 1 5 6 3 3 6 3 3 5 5 6 3 3 3 3 3 3 5 5 4 4 4 3 4 2
## [16093] 3 5 4 6 4 4 4 4 4 2 2 4 6 5 4 2 1 6 4 2 4 3 3 4 5 2 2 4 4 4 2 3 6 3 3 4
## [16129] 1 4 4 2 5 5 3 4 3 3 2 3 1 6 4 3 5 6 4 3 4 5 3 6 2 4 6 4 3 2 4 3 4 2 6 5
## [16165] 4 4 6 4 3 4 5 5 3 4 3 4 4 4 6 6 3 3 6 2 6 5 4 6 3 5 6 5 4 3 4 4 6 2 3 3
## [16201] 6 3 6 4 4 2 4 2 5 3 5 6 1 6 4 5 3 4 5 2 4 2 3 2 1 4 6 5 2 3 2 3 6 3 2 3
## [16237] 4 4 4 2 4 2 3 3 4 6 2 2 5 4 5 3 3 4 4 5 5 5 5 2 4 5 2 2 4 4 2 4 4 3 4 5
## [16273] 5 3 2 4 4 6 6 2 3 5 3 5 3 6 3 6 6 3 2 3 4 5 6 3 3 5 2 5 5 2 4 5 4 4 4 5
## [16309] 3 2 2 2 6 5 5 4 3 3 3 4 2 5 5 6 5 2 1 2 5 5 2 4 4 3 6 4 3 3 5 5 3 5 2 4
## [16345] 4 5 4 6 5 3 6 6 3 5 5 4 3 5 6 5 6 4 4 2 3 2 4 4 1 4 4 5 4 3 2 2 4 3 2 6
## [16381] 5 4 5 4 3 2 3 5 5 4 6 6 5 5 4 4 2 4 1 4 4 4 3 5 6 1 3 6 5 4 3 3 4 3 3 4
## [16417] 2 2 4 4 5 5 4 5 5 2 5 6 2 6 5 3 4 3 6 4 4 4 2 6 4 4 4 5 4 4 6 6 3 3 1 6
## [16453] 6 4 4 2 4 4 2 3 3 1 3 5 5 5 5 3 4 4 2 2 3 4 6 3 6 3 4 1 6 3 4 5 4 5 2 3
## [16489] 4 5 4 4 2 5 4 4 2 2 4 6 4 4 6 6 5 4 3 4 6 3 2 2 5 4 3 2 3 2 5 6 4 4 3 5
## [16525] 2 5 4 2 4 3 4 4 4 1 4 5 3 6 4 5 4 5 4 3 5 2 4 3 2 4 4 5 4 6 2 2 2 4 1 5
## [16561] 4 6 3 2 2 3 3 5 2 5 3 5 6 3 5 5 6 4 3 4 2 3 5 3 2 5 4 2 4 5 4 6 5 4 3 1
## [16597] 2 4 4 5 2 1 2 3 3 5 2 3 4 5 6 4 5 3 6 6 4 5 1 5 6 5 4 4 4 4 4 4 2 4 4 4
## [16633] 2 5 3 6 2 1 2 4 4 4 3 3 4 2 4 2 6 1 3 5 5 5 4 1 3 5 2 6 4 5 4 4 5 3 6 4
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## [16741] 4 5 4 2 6 1 4 6 4 3 6 4 4 5 3 4 4 5 4 1 3 3 4 5 2 4 4 4 5 5 4 2 3 4 4 4
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## [16813] 6 4 4 3 6 5 3 3 5 2 2 6 6 1 5 5 3 4 4 1 2 2 4 2 5 4 2 2 3 2 6 3 5 5 4 6
## [16849] 6 4 3 6 4 4 3 3 5 2 5 6 4 1 4 4 5 5 3 3 2 5 6 2 5 5 3 2 1 4 5 6 2 6 2 1
## [16885] 2 6 2 4 4 2 3 3 3 3 4 3 2 3 2 5 3 5 5 3 3 4 4 4 3 6 4 6 4 6 1 5 5 5 3 6
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## [16993] 2 3 6 4 5 6 2 5 5 6 3 4 6 2 2 5 3 2 6 2 4 3 3 3 4 4 4 4 5 3 4 5 5 3 2 6
## [17029] 6 5 6 6 4 2 4 4 2 5 6 4 4 4 5 6 3 4 4 1 4 2 6 3 6 4 2 5 4 6 4 4 2 1 4 3
## [17065] 4 5 1 2 2 2 4 4 6 1 4 4 6 5 4 2 3 3 4 2 4 5 6 5 6 4 5 4 4 5 5 4 4 4 3 2
## [17101] 3 3 4 4 4 3 4 4 3 5 3 5 4 4 4 4 4 4 4 3 6 4 5 4 4 5 1 6 1 4 4 6 3 1 3 4
## [17137] 4 5 3 2 3 5 4 1 5 4 4 4 3 4 5 2 5 5 3 4 4 4 4 6 3 4 6 5 5 5 2 4 5 5 6 3
## [17173] 5 2 6 1 4 6 4 2 5 5 2 4 2 3 3 6 1 3 1 3 5 5 4 4 5 5 6 5 4 3 3 5 3 6 4 1
## [17209] 3 1 2 2 6 4 6 4 6 3 4 1 6 4 3 5 6 4 6 3 6 3 6 1 2 5 4 4 6 1 2 2 5 3 4 2
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## [17281] 5 4 4 5 6 3 3 5 2 2 3 4 4 3 3 6 2 6 4 4 2 3 6 1 5 3 6 4 3 6 3 6 4 5 6 3
## [17317] 3 6 5 3 4 2 4 4 2 4 4 4 3 4 3 3 5 4 4 5 3 5 2 1 4 6 6 4 3 5 3 4 5 5 4 4
## [17353] 3 4 3 2 3 3 4 4 4 3 5 6 3 2 4 6 4 2 3 4 2 4 5 2 3 2 3 4 4 5 3 5 4 2 4 4
## [17389] 6 3 4 6 3 2 6 1 6 2 2 6 4 3 2 4 3 5 5 4 4 4 2 2 5 2 2 2 4 1 2 4 4 4 3 6
## [17425] 4 2 4 3 6 6 2 4 4 3 4 5 6 4 4 5 4 2 4 6 3 1 2 3 3 4 2 2 4 2 1 2 4 3 4 2
## [17461] 3 4 2 4 1 5 4 2 4 4 2 3 4 5 4 3 4 3 4 4 3 4 3 4 4 4 4 6 4 2 2 2 3 3 4 3
## [17497] 6 6 3 6 3 2 6 6 5 4 5 4 4 2 4 3 4 5 3 2 5 3 5 3 1 3 6 3 4 5 6 4 4 6 4 5
## [17533] 2 5 2 3 1 4 4 5 6 4 5 2 3 4 2 2 4 6 5 2 4 5 3 4 4 5 2 4 2 3 4 6 5 6 3 3
## [17569] 3 4 4 6 5 4 6 3 3 3 3 4 5 4 2 5 5 4 4 3 1 4 4 2 4 4 4 3 5 4 1 3 4 3 6 5
## [17605] 4 6 5 5 4 4 4 1 3 4 4 6 3 4 4 4 6 5 2 3 5 4 3 4 4 3 3 2 4 4 2 5 2 1 5 4
## [17641] 4 3 4 5 4 4 6 6 3 4 4 1 3 3 6 1 4 3 3 4 5 4 6 6 3 5 4 2 3 4 4 4 4 4 5 4
## [17677] 1 4 5 5 3 5 5 4 3 5 5 6 3 3 4 3 4 3 4 4 2 1 5 5 4 5 4 3 4 6 6 3 4 5 1 6
## [17713] 3 6 5 4 3 3 4 3 1 1 1 4 4 2 2 4 3 5 4 4 3 4 3 3 4 6 4 2 2 3 3 5 6 6 6 3
## [17749] 5 3 4 3 4 5 4 5 4 2 4 4 4 4 5 2 1 1 4 3 3 3 4 4 3 4 5 6 5 3 2 6 5 4 2 6
## [17785] 3 4 4 6 4 3 3 6 3 3 6 4 4 3 4 4 6 4 6 4 4 4 4 2 3 3 6 2 4 2 4 6 5 5 4 4
## [17821] 6 3 2 4 3 4 6 5 5 3 4 5 2 5 2 2 5 1 1 2 4 3 4 2 6 6 6 2 6 3 6 1 4 4 3 4
## [17857] 2 4 2 2 3 4 3 4 5 6 3 4 4 4 4 5 2 2 4 4 5 6 3 4 4 3 1 4 6 3 2 4 1 2 4 6
## [17893] 5 3 5 4 4 2 3 4 2 6 4 3 1 4 6 2 5 4 2 2 5 4 4 4 2 6 3 1 5 4 6 4 6 3 5 4
## [17929] 3 3 5 3 4 4 2 4 4 2 4 4 6 4 6 5 6 5 2 5 4 6 4 6 4 6 3 6 5 3 2 4 3 4 2 1
## [17965] 3 2 4 3 4 4 5 3 5 4 4 4 4 4 2 6 1 4 3 4 6 3 3 6 3 3 4 2 5 2 5 4 5 5 6 6
## [18001] 6 5 4 2 2 4 3 2 3 3 4 4 4 2 4 5 4 4 2 4 3 4 3 3 1 4 4 2 3 2 4 5 3 6 4 3
## [18037] 6 4 3 2 3 6 2 3 3 3 5 4 1 5 2 3 4 3 5 3 5 4 3 6 5 5 5 3 5 6 6 3 1 3 1 5
## [18073] 2 4 2 4 6 4 4 6 6 4 6 4 5 1 4 4 4 6 3 6 6 2 2 4 4 2 3 3 6 5 4 5 4 4 1 1
## [18109] 4 4 2 4 3 4 5 5 3 1 5 1 1 6 3 4 2 6 4 2 4 2 5 2 3 4 4 4 5 2 4 5 2 2 2 2
## [18145] 4 3 2 5 3 4 5 5 6 4 2 4 6 4 1 4 4 2 6 6 1 2 3 4 4 3 3 4 3 4 5 6 4 4 2 5
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## [18253] 2 4 3 3 5 5 1 4 5 1 1 5 4 2 3 5 3 6 2 3 2 4 2 4 3 3 1 4 4 4 4 5 3 3 4 2
## [18289] 3 2 4 3 4 4 3 4 1 1 2 4 2 2 4 2 4 5 3 5 4 4 2 2 5 3 3 4 4 4 4 2 4 3 2 5
## [18325] 5 2 3 4 5 4 2 4 4 4 4 6 4 5 5 6 4 3 2 5 3 4 2 2 4 4 6 4 5 1 3 4 6 6 2 6
## [18361] 6 6 4 4 5 4 5 4 4 4 4 3 4 5 2 5 1 3 4 1 2 4 4 4 4 6 5 2 6 3 5 6 3 1 6 5
## [18397] 6 6 3 5 5 2 1 3 3 5 4 3 5 4 4 4 4 6 6 4 5 2 1 4 4 3 4 4 2 4 3 5 5 4 4 3
## [18433] 4 3 4 5 3 4 3 5 1 2 6 5 5 4 5 3 1 3 3 6 6 5 4 3 4 6 4 4 5 3 3 6 5 4 4 4
## [18469] 4 6 5 3 3 5 4 3 4 6 4 6 3 3 1 4 2 2 3 2 6 3 2 6 6 2 6 4 4 6 4 4 2 5 3 2
## [18505] 2 4 4 5 5 4 4 5 6 5 4 4 4 3 3 4 2 2 6 4 2 2 6 4 5 6 3 3 4 5 3 6 3 4 6 3
## [18541] 4 5 2 5 5 3 3 3 2 2 3 3 1 2 5 4 4 5 4 2 4 5 5 4 2 4 3 5 4 4 3 4 4 6 4 6
## [18577] 4 4 3 3 6 3 2 4 2 4 4 1 5 2 4 4 3 1 6 6 5 6 5 4 4 4 3 5 6 3 5 3 6 4 3 5
## [18613] 4 4 2 4 4 2 5 4 2 2 3 6 5 6 4 6 3 3 2 4 5 4 3 6 2 4 4 6 5 2 6 6 5 6 1 3
## [18649] 4 3 3 6 3 5 3 5 4 1 2 4 4 3 3 4 5 3 2 2 4 3 4 2 4 6 4 2 6 3 2 3 3 6 6 4
## [18685] 3 3 3 3 3 5 4 5 4 3 6 3 4 4 3 5 4 5 2 4 4 3 2 1 4 3 6 4 4 3 4 4 5 4 6 4
## [18721] 6 6 5 3 1 3 2 4 4 2 5 5 6 6 6 5 2 4 4 6 3 6 1 3 6 4 4 5 5 2 6 5 1 2 3 2
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## [18793] 5 2 2 2 3 2 5 3 2 4 3 4 5 3 3 1 6 3 3 3 6 6 3 4 2 2 4 4 4 4 3 2 2 3 4 6
## [18829] 6 4 2 4 6 5 4 6 4 3 2 5 2 5 5 2 6 4 3 3 2 4 3 2 5 5 1 2 5 4 3 5 4 4 3 3
## [18865] 6 3 1 5 4 5 4 3 3 5 5 5 3 4 2 5 5 3 4 2 5 5 6 3 4 4 4 2 3 2 2 4 4 6 5 4
## [18901] 6 2 6 4 4 3 4 2 5 3 5 4 4 3 5 2 4 4 4 4 5 3 6 5 3 5 2 4 3 1 5 4 4 4 6 5
## [18937] 4 5 3 6 4 5 3 4 3 2 3 1 3 2 3 6 3 4 4 3 6 4 2 6 5 6 3 5 4 3 3 4 4 3 1 6
## [18973] 1 5 5 3 4 6 2 3 1 5 5 1 4 4 4 4 4 3 3 5 2 2 2 3 4 4 3 3 4 5 4 4 2 4 3 6
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## [19081] 5 3 2 4 4 3 4 4 2 4 5 4 4 3 2 5 4 3 3 6 6 5 5 5 5 5 4 4 2 4 4 5 3 4 4 4
## [19117] 5 4 4 2 6 4 4 4 2 4 2 6 2 4 6 5 4 2 3 5 4 6 2 4 5 4 3 3 3 2 3 4 2 4 1 3
## [19153] 4 5 6 6 5 5 2 4 4 3 5 5 6 4 3 5 4 5 5 3 4 5 5 4 6 5 2 1 1 4 4 3 3 6 3 1
## [19189] 3 1 6 5 4 2 4 3 5 6 2 4 5 6 2 6 6 2 4 3 5 3 4 2 4 4 6 2 6 4 3 5 4 2 3 3
## [19225] 2 4 5 4 4 4 6 5 3 3 4 2 3 3 4 6 4 5 2 4 6 4 4 1 6 4 5 2 2 2 2 4 5 4 4 2
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## [19297] 6 3 3 2 4 4 4 5 5 3 3 4 5 6 2 4 6 4 3 4 3 5 2 4 2 6 4 4 2 3 3 1 4 6 2 1
## [19333] 2 6 3 6 3 4 6 2 2 6 3 2 4 2 5 5 1 4 4 2 1 4 5 5 3 2 4 5 5 2 4 6 4 2 3 2
## [19369] 5 3 3 1 5 4 6 6 3 5 6 3 5 2 2 6 3 4 6 3 2 5 4 2 4 6 3 1 3 4 4 5 2 3 2 6
## [19405] 5 2 4 4 4 6 5 3 4 3 4 2 5 3 4 4 4 1 5 3 5 3 5 3 6 2 6 4 2 4 2 2 2 5 6 6
## [19441] 5 5 2 4 2 4 5 4 2 3 5 5 4 4 2 4 6 2 3 3 4 1 3 3 3 2 2 2 4 3 5 2 5 6 2 4
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## [19513] 5 6 1 5 6 1 6 2 2 4 2 2 5 3 5 2 3 6 2 5 5 4 2 2 2 4 4 4 5 4 5 2 5 5 6 5
## [19549] 4 4 6 4 5 6 4 2 2 3 4 6 4 6 5 5 5 3 3 3 4 4 3 4 1 6 4 2 5 6 3 3 4 3 2 4
## [19585] 2 6 5 4 5 4 1 4 4 2 2 4 6 4 4 4 2 1 3 3 6 4 3 3 5 3 4 3 3 3 5 6 1 4 5 2
## [19621] 6 4 4 6 3 4 3 2 4 1 2 5 6 1 5 3 4 5 3 2 2 5 4 5 4 5 6 5 6 3 5 3 4 5 2 4
## [19657] 5 3 2 6 4 2 5 4 3 5 4 2 5 6 4 2 3 4 4 3 4 5 4 4 4 2 3 3 5 4 4 3 4 4 6 5
## [19693] 6 3 5 3 4 2 5 4 6 5 3 4 2 1 6 6 2 2 2 5 3 2 2 4 4 6 6 1 3 4 5 5 3 4 4 6
## [19729] 3 2 6 3 4 6 4 5 5 2 3 4 4 3 4 3 4 4 1 2 3 3 3 2 5 5 4 5 5 4 4 6 5 3 2 6
## [19765] 4 2 2 3 2 2 6 6 5 5 2 6 2 4 6 4 4 5 5 3 4 4 4 2 6 5 4 4 3 6 2 2 4 5 5 6
## [19801] 6 2 4 2 6 4 4 3 3 5 3 2 4 4 6 3 4 4 5 2 4 4 1 6 4 1 4 5 2 5 2 4 2 5 4 4
## [19837] 6 5 4 5 5 3 2 2 3 4 4 4 2 3 4 6 4 6 2 3 4 2 4 4 3 6 5 6 2 4 5 4 4 3 4 4
## [19873] 2 6 4 5 3 6 2 2 5 4 5 5 3 3 4 5 5 6 3 5 5 1 5 3 2 4 3 5 1 4 4 2 3 1 5 2
## [19909] 2 4 6 1 5 3 4 5 1 2 4 4 6 6 3 2 3 6 4 4 2 3 5 4 2 6 4 4 3 1 3 2 6 5 2 4
## [19945] 4 6 4 5 3 2 5 2 5 3 4 4 4 4 4 5 1 3 3 2 4 6 6 5 4 3 6 6 4 6 4 6 3 4 4 3
## [19981] 4 5 4 4 6 2 4 5 6 4 2 2 3 6 4 5 4 4 4 5 4 4 3 2 5 4 3 2 1 4 2 2 3 2 1 6
## [20017] 4 4 3 2 4 4 5 5 4 4 4 6 3 6 6 6 3 4 2 6 5 1 6 3 6 1 4 5 4 3 4 4 4 4 6 5
## [20053] 3 4 4 2 5 3 4 4 4 5 4 5 5 4 4 3 5 2 6 3 5 3 3 5 5 2 4 5 2 3 2 4 5 4 1 5
## [20089] 4 4 3 4 2 4 6 5 6 2 4 3 4 6 2 2 2 5 4 4 2 4 2 6 3 5 6 1 2 3 4 6 4 3 2 2
## [20125] 3 2 2 5 5 2 3 3 4 4 6 4 4 3 4 2 3 4 6 4 5 6 4 6 4 2 4 3 5 4 1 2 5 3 3 3
## [20161] 1 5 5 5 6 4 4 4 1 3 5 6 5 5 6 1 6 4 6 2 4 2 2 2 4 4 2 4 3 4 4 2 5 2 4 2
## [20197] 2 3 3 5 4 2 2 6 2 2 2 5 5 2 4 6 4 3 3 2 5 4 6 5 4 2 5 3 5 2 1 3 4 5 4 5
## [20233] 4 4 4 5 2 4 2 4 5 4 6 3 5 1 4 4 4 4 6 2 3 4 3 5 4 2 4 6 4 4 3 3 6 4 4 5
## [20269] 1 2 4 4 4 3 2 4 3 2 4 3 6 5 6 5 4 4 3 3 5 4 2 4 2 4 1 4 2 2 5 5 4 5 4 4
## [20305] 4 6 4 6 4 5 4 6 4 3 3 3 4 3 3 5 6 4 5 5 4 4 5 4 4 6 5 4 2 4 4 4 2 1 6 2
## [20341] 3 1 5 4 4 4 6 3 6 4 6 2 3 4 6 6 2 3 2 2 2 3 6 3 1 4 4 5 5 3 4 5 4 4 5 6
## [20377] 5 6 3 4 6 3 6 2 6 2 1 1 2 3 6 2 4 4 3 5 5 4 6 4 5 5 6 4 1 2 4 4 2 2 3 5
## [20413] 2 4 2 2 1 4 6 4 5 2 3 4 2 2 5 3 1 3 4 3 2 3 6 3 3 3 2 5 6 3 4 5 5 5 4 2
## [20449] 5 4 2 5 3 4 4 2 5 3 3 6 1 4 3 1 4 5 6 4 4 4 3 3 2 4 2 4 5 3 6 2 2 4 2 2
## [20485] 1 5 4 4 6 2 5 2 2 3 3 3 6 4 4 2 3 5 4 2 5 6 6 2 6 2 4 2 4 2 4 4 3 4 6 5
## [20521] 5 6 5 4 6 4 1 6 3 2 5 3 4 3 5 5 3 3 5 3 4 2 5 6 5 6 6 3 1 2 4 3 5 6 5 5
## [20557] 6 4 5 6 5 4 5 4 3 1 3 6 3 4 2 4 3 6 3 2 6 4 4 2 6 4 4 5 2 4 5 4 1 3 3 5
## [20593] 3 3 4 3 4 5 3 3 5 4 4 3 5 2 6 4 4 3 3 1 3 5 1 5 5 5 3 4 4 4 5 5 2 2 5 2
## [20629] 6 1 5 3 5 3 6 2 5 4 4 6 4 2 3 6 2 5 4 4 3 4 3 3 3 4 2 3 4 6 5 4 3 2 5 5
## [20665] 5 5 5 4 5 3 4 4 3 4 6 3 4 5 4 4 4 6 4 2 3 1 5 1 1 1 4 2 6 2 2 4 3 3 4 1
## [20701] 6 6 3 1 4 5 6 5 3 5 4 4 5 4 4 4 5 5 4 3 3 4 5 2 2 3 6 5 2 4 5 6 6 5 6 6
## [20737] 6 1 3 6 6 6 4 5 4 2 3 5 4 4 2 4 2 4 3 6 5 4 4 2 4 5 4 2 3 1 5 5 6 4 4 4
## [20773] 5 6 3 1 4 3 5 6 6 2 4 6 4 6 4 5 4 3 2 4 4 4 1 2 6 4 4 3 3 2 4 4 4 2 2 6
## [20809] 3 6 5 4 4 6 2 4 2 4 4 5 4 3 2 5 1 6 3 3 3 3 6 4 6 6 2 4 4 2 5 2 4 3 4 3
## [20845] 2 5 4 5 4 4 4 4 4 4 3 5 4 6 3 5 6 5 6 1 3 4 2 4 2 2 2 4 2 3 4 2 5 3 4 2
## [20881] 4 6 3 4 4 4 5 4 2 3 5 2 5 4 4 3 1 3 4 4 2 4 6 4 5 6 5 3 2 2 5 5 5 2 4 6
## [20917] 4 5 6 3 5 6 2 6 5 5 3 6 3 4 1 3 4 2 3 3 4 5 6 3 6 5 5 4 2 4 3 2 1 2 3 3
## [20953] 4 3 1 1 6 4 4 3 4 4 3 5 2 2 2 2 4 2 3 1 3 4 4 6 2 6 2 4 4 1 2 1 6 3 4 3
## [20989] 3 6 3 4 4 6 4 1 4 3 4 4 2 1 2 4 2 3 5 6 5 5 3 3 5 4 4 2 5 4 4 3 4 4 4 3
## [21025] 4 4 1 5 4 4 5 3 2 4 4 4 4 3 3 4 6 2 5 4 3 4 6 5 2 5 4 4 4 6 3 2 6 6 6 4
## [21061] 2 2 3 3 2 2 2 2 4 5 4 5 5 3 5 5 3 3 5 5 4 4 3 4 4 5 4 4 2 6 3 5 6 5 3 4
## [21097] 4 2 5 4 5 6 3 3 3 1 6 4 3 1 4 6 2 6 3 6 3 3 2 3 4 4 4 3 3 5 1 2 6 4 4 2
## [21133] 3 4 6 6 1 4 2 3 4 6 4 4 4 2 1 4 6 4 2 3 2 5 5 5 4 3 5 4 3 2 4 1 4 6 1 6
## [21169] 3 4 2 5 3 4 3 6 4 3 4 6 5 5 4 2 6 2 3 2 2 3 4 3 1 6 3 3 4 6 6 4 3 5 6 4
## [21205] 4 4 4 2 2 4 3 4 5 4 4 5 4 4 4 4 4 4 2 5 3 3 3 5 4 4 2 2 3 4 6 4 2 3 6 3
## [21241] 4 2 3 5 3 5 2 4 5 2 3 2 4 4 3 2 4 6 6 3 3 3 5 6 3 4 6 1 5 3 3 4 3 3 2 2
## [21277] 2 1 3 4 5 5 6 2 4 4 4 5 4 3 3 4 5 4 4 2 5 3 3 4 4 4 4 5 4 5 4 4 1 5 3 3
## [21313] 3 4 3 6 3 5 6 2 3 6 5 5 2 1 1 6 4 4 2 1 3 5 4 6 4 3 4 4 4 6 2 6 2 6 6 2
## [21349] 6 5 5 6 1 4 6 4 3 4 3 1 4 3 3 3 5 4 4 5 3 5 3 6 2 3 4 3 2 4 5 3 3 6 4 3
## [21385] 4 4 4 4 2 6 2 3 4 5 5 5 4 2 4 4 4 4 5 4 2 4 4 6 4 4 6 2 3 4 2 3 4 3 3 2
## [21421] 6 3 5 2 2 4 4 2 2 4 3 5 6 4 3 3 2 3 2 4 5 2 6 2 6 5 6 3 4 4 1 4 2 5 1 5
## [21457] 4 4 4 4 5 6 1 3 4 4 2 4 5 3 2 5 4 2 6 6 4 4 3 2 3 3 4 4 5 4 5 2 2 4 3 4
## [21493] 4 3 3 4 2 4 4 6 4 3 5 4 4 4 2 4 6 4 4 5 4 3 2 2 2 4 4 5 4 5 3 6 4 5 4 5
## [21529] 4 6 5 4 3 3 6 4 1 5 3 2 6 4 6 5 5 6 6 3 2 3 3 3 2 5 4 4 4 3 6 5 4 4 1 6
## [21565] 4 4 3 4 4 3 3 5 5 4 5 3 3 4 3 4 5 3 2 4 5 4 3 2 3 2 3 3 1 5 5 4 1 2 3 4
## [21601] 2 3 3 5 2 1 3 3 6 3 3 5 3 3 5 4 6 4 3 3 4 3 6 3 4 4 5 4 2 4 6 3 5 5 2 3
## [21637] 6 3 4 6 6 4 2 4 3 4 4 4 2 6 2 4 3 6 5 2 4 4 4 4 5 4 4 6 6 4 4 3 6 2 3 2
## [21673] 3 3 6 2 5 3 3 4 4 3 4 2 3 4 4 4 6 5 2 4 4 2 5 3 3 5 3 3 6 6 4 4 2 3 3 4
## [21709] 4 2 3 5 3 5 3 4 3 3 2 2 4 2 5 4 5 4 4 5 3 2 2 5 2 3 4 3 4 6 4 5 5 1 4 4
## [21745] 2 4 3 3 4 2 2 3 4 4 4 2 5 2 4 6 2 4 4 4 5 1 1 4 6 4 5 4 3 4 3 3 3 2 6 2
## [21781] 3 6 4 6 6 5 6 3 3 4 6 1 4 4 2 6 3 5 4 4 6 3 6 4 4 3 3 2 3 4 6 6 3 5 6 6
## [21817] 1 3 5 2 2 6 6 4 6 6 5 6 5 6 4 4 3 3 4 6 4 4 2 4 3 3 4 6 3 2 4 4 2 4 3 4
## [21853] 4 4 5 5 3 2 4 5 4 4 5 2 5 5 5 2 2 2 2 4 2 5 4 4 5 4 3 4 3 5 4 4 4 5 6 6
## [21889] 3 4 4 4 3 6 4 2 5 3 5 2 4 2 5 5 6 3 3 3 6 3 6 5 3 2 3 4 2 4 4 3 4 4 2 3
## [21925] 3 3 6 4 2 3 2 1 4 3 6 6 4 5 2 2 5 3 1 4 3 6 3 5 3 5 5 3 5 5 3 4 4 3 4 6
## [21961] 4 4 4 4 4 4 3 3 2 3 3 3 4 5 4 4 6 2 4 3 4 6 2 3 4 3 4 5 2 4 5 2 4 3 1 5
## [21997] 2 4 3 6 3 5 3 4 4 2 5 2 3 4 3 6 4 4 4 2 1 4 5 5 4 6 4 5 6 3 2 4 4 2 6 2
## [22033] 5 1 3 4 4 3 4 2 6 4 4 5 1 4 3 5 5 3 5 4 2 3 5 6 5 4 2 4 4 2 2 4 4 3 6 2
## [22069] 4 5 6 5 5 4 5 2 3 2 3 2 3 6 2 3 3 4 4 3 4 2 6 4 3 4 5 4 6 4 4 4 5 6 2 5
## [22105] 2 3 5 2 4 4 3 5 3 5 4 2 4 3 4 3 3 4 4 3 5 4 3 2 4 2 2 2 3 5 6 6 2 1 5 2
## [22141] 5 4 4 2 3 4 4 3 4 5 2 3 6 3 3 4 4 3 4 4 5 3 5 4 4 3 2 5 2 6 2 3 3 3 2 6
## [22177] 2 6 6 2 6 4 4 2 6 3 3 1 4 4 3 2 1 3 3 1 3 2 3 2 4 5 5 5 4 5 4 4 1 3 6 5
## [22213] 3 1 4 3 4 5 6 6 6 5 3 4 3 3 3 2 3 5 5 5 2 2 4 6 2 2 3 3 4 4 4 4 2 4 5 5
## [22249] 2 4 4 5 3 5 3 6 6 4 2 3 3 6 2 5 4 4 4 5 3 3 3 4 6 4 3 6 4 5 4 2 6 5 4 4
## [22285] 2 5 1 5 3 6 4 6 6 2 2 6 2 4 5 2 3 4 6 4 1 4 5 6 3 4 1 5 2 3 4 3 3 1 4 5
## [22321] 4 4 6 3 1 4 6 2 4 4 5 3 6 2 3 4 4 3 6 5 5 1 4 5 6 1 1 6 5 5 2 4 3 5 4 4
## [22357] 3 5 5 4 4 5 4 1 3 5 4 5 4 4 3 6 4 2 1 3 4 4 4 4 2 5 4 1 4 1 3 4 5 4 6 4
## [22393] 4 6 5 4 5 3 6 4 3 4 5 2 4 3 4 5 1 5 4 4 3 6 4 6 3 2 1 4 4 4 4 4 4 6 4 4
## [22429] 3 3 4 5 4 4 6 5 4 3 4 4 4 6 6 6 4 2 5 2 4 6 3 3 3 5 4 3 1 4 4 5 3 4 3 5
## [22465] 4 6 6 2 3 3 2 6 4 4 6 3 2 4 5 4 4 4 3 6 2 3 4 6 4 2 3 1 5 6 4 4 4 1 5 4
## [22501] 4 1 5 6 5 1 3 5 4 2 1 2 3 2 6 4 4 4 5 2 6 2 6 6 4 2 4 3 2 3 3 5 4 3 3 4
## [22537] 5 1 5 2 2 5 4 4 3 2 3 6 5 3 3 3 2 4 4 3 3 5 4 4 2 4 3 2 3 6 4 4 3 4 6 4
## [22573] 5 1 6 3 5 3 3 3 2 5 4 4 5 6 6 1 3 6 4 6 2 6 4 4 4 5 2 3 6 1 3 2 5 4 4 6
## [22609] 2 2 6 2 2 6 4 5 3 4 5 4 2 4 2 5 3 6 4 4 2 1 4 4 5 3 6 6 5 5 4 5 5 4 3 3
## [22645] 6 1 6 1 4 5 5 3 2 3 5 5 4 1 2 3 3 4 2 4 5 6 4 4 2 3 1 5 2 4 4 2 3 6 5 3
## [22681] 4 4 3 6 4 4 5 4 3 3 5 3 3 5 4 3 2 4 2 5 5 1 2 2 6 4 3 3 3 3 4 5 3 4 4 4
## [22717] 6 3 6 5 2 6 6 5 5 5 4 4 5 6 5 2 2 4 1 6 3 3 3 6 4 3 6 4 4 4 2 4 4 4 3 4
## [22753] 3 6 6 3 6 3 2 2 6 5 5 3 5 4 4 5 3 1 2 5 5 5 4 3 4 4 4 1 6 2 2 4 3 2 3 6
## [22789] 3 4 2 4 3 3 2 6 3 3 4 4 4 1 3 3 4 4 2 6 4 3 3 1 3 4 4 4 5 6 4 5 4 2 4 4
## [22825] 2 5 2 4 4 5 4 5 5 2 5 6 6 4 3 2 4 3 6 3 4 3 3 4 4 5 3 5 4 3 4 1 3 3 3 4
## [22861] 4 2 2 4 3 3 6 4 4 2 4 3 1 2 6 6 4 5 3 4 1 5 6 2 6 2 6 4 6 4 4 1 2 4 4 5
## [22897] 4 5 5 5 4 4 4 1 1 3 2 3 2 5 1 4 3 5 3 4 5 2 4 5 6 1 4 4 4 6 6 4 3 4 5 2
## [22933] 4 4 6 5 1 5 3 4 5 5 6 2 2 4 5 4 4 4 6 6 6 1 4 6 3 4 4 4 6 4 3 2 4 3 3 2
## [22969] 4 3 2 6 5 3 5 4 4 4 2 4 2 2 3 2 1 3 4 5 2 4 3 4 5 6 2 5 5 3 2 5 2 5 2 5
## [23005] 4 4 5 4 2 6 5 5 3 2 4 4 3 3 6 3 2 3 4 4 3 3 4 4 4 2 4 5 3 5 5 3 2 5 5 3
## [23041] 4 1 3 2 4 4 5 3 2 4 4 2 5 4 3 3 4 2 5 4 3 3 3 3 6 5 4 5 4 2 3 6 4 1 4 4
## [23077] 5 2 4 6 2 4 3 4 4 3 3 4 5 1 2 4 5 3 4 1 4 2 4 4 3 4 4 4 2 5 4 3 4 2 3 5
## [23113] 2 2 4 4 6 6 1 4 4 5 3 6 5 3 4 4 4 4 3 6 4 3 5 3 1 3 4 3 4 4 2 2 2 5 4 4
## [23149] 5 4 4 2 3 1 1 4 6 3 2 5 3 3 3 2 3 5 6 2 2 4 3 4 6 4 4 5 2 4 2 5 4 5 2 6
## [23185] 4 3 4 1 4 3 2 3 4 1 6 5 1 2 4 5 5 4 4 4 3 4 4 3 4 6 6 5 4 4 3 4 4 4 5 4
## [23221] 3 6 3 3 3 5 4 5 5 2 5 3 2 3 3 4 2 4 2 2 2 4 4 3 1 4 6 2 3 5 5 2 3 4 3 4
## [23257] 2 4 4 5 4 2 2 4 2 4 3 4 6 6 6 6 4 3 3 4 3 5 4 4 4 1 6 1 6 6 2 4 6 4 3 6
## [23293] 2 5 4 4 6 6 6 2 4 3 6 1 3 2 6 2 4 4 2 5 2 6 5 4 4 2 5 6 3 4 3 6 3 3 6 4
## [23329] 2 4 4 4 4 1 4 5 3 2 3 5 4 4 5 5 4 4 4 5 2 6 4 2 5 4 5 3 6 3 5 3 4 6 4 6
## [23365] 3 3 4 6 6 3 6 6 4 5 6 3 1 4 3 5 5 3 2 3 4 6 4 2 3 5 3 2 4 1 6 5 2 6 4 4
## [23401] 5 4 4 2 3 1 6 3 3 2 5 5 3 5 2 3 3 5 4 6 1 6 6 5 6 6 5 4 1 4 3 3 4 6 2 5
## [23437] 6 5 6 3 5 3 4 4 2 6 4 4 3 2 4 2 3 2 2 2 5 3 5 2 4 2 5 2 2 2 4 4 4 6 6 4
## [23473] 6 2 3 5 6 4 4 3 4 4 4 5 3 6 3 4 4 4 6 6 4 4 3 6 3 5 3 3 5 4 3 3 5 1 4 1
## [23509] 4 4 4 6 4 5 5 4 4 5 4 2 4 6 5 4 4 3 3 4 3 3 3 6 4 3 4 2 4 2 2 5 2 5 3 5
## [23545] 6 6 5 4 4 5 4 5 4 4 3 6 2 3 6 5 6 6 4 5 4 1 4 2 2 3 3 5 6 5 4 2 2 5 6 2
## [23581] 4 6 4 4 3 4 3 5 4 4 4 6 4 5 5 5 3 2 6 5 5 4 5 3 3 1 4 5 6 6 6 4 1 4 4 4
## [23617] 2 4 5 5 6 6 1 5 4 5 5 2 2 4 4 2 4 3 5 4 5 1 4 5 2 5 4 5 6 4 1 5 5 4 4 2
## [23653] 3 4 4 4 4 4 4 5 1 6 3 4 4 6 4 4 5 4 3 5 3 4 4 5 4 5 4 6 3 5 1 6 5 6 4 3
## [23689] 4 5 5 4 2 5 3 4 4 4 1 5 2 3 3 2 3 4 6 4 5 2 3 6 2 3 2 4 5 2 3 5 3 5 3 4
## [23725] 3 4 4 4 4 6 5 6 4 6 4 4 5 6 3 3 5 4 4 3 3 4 2 4 4 4 4 4 5 3 2 4 2 3 4 4
## [23761] 6 3 3 3 2 6 4 1 3 3 4 3 3 4 4 5 2 2 5 1 3 6 5 6 2 6 6 2 1 5 6 3 6 3 5 4
## [23797] 2 3 1 2 4 6 2 3 3 3 4 6 1 3 4 1 6 2 3 3 3 3 5 6 6 3 4 2 3 3 3 3 3 4 4 3
## [23833] 3 3 3 4 6 4 3 5 4 5 2 4 6 6 1 5 1 5 4 4 2 3 4 5 6 5 2 3 3 2 3 5 6 6 2 4
## [23869] 3 2 1 5 4 4 6 6 4 4 3 2 5 2 6 3 5 2 5 1 4 3 5 4 6 4 5 2 4 4 3 5 2 3 5 1
## [23905] 6 2 6 6 4 4 2 1 3 3 3 6 2 5 5 2 3 4 5 5 6 4 4 6 3 4 6 3 3 4 5 1 4 1 4 2
## [23941] 4 3 5 5 4 2 3 3 3 4 6 3 4 2 2 3 2 6 4 3 4 3 6 5 6 1 2 5 5 2 4 5 5 6 6 3
## [23977] 2 4 3 4 4 3 4 4 5 3 4 2 6 2 5 2 4 2 5 1 4 2 5 4 4 5 3 3 6 5 1 6 2 2 6 3
## [24013] 5 3 2 2 5 4 4 1 5 4 2 6 3 4 3 6 2 3 3 4 1 3 2 5 3 2 4 4 3 5 3 5 5 4 2 3
## [24049] 4 2 2 3 2 4 2 3 3 2 4 6 3 5 6 5 4 5 5 4 3 4 3 6 4 6 1 6 4 4 4 6 2 2 4 3
## [24085] 3 4 4 4 3 6 5 1 2 1 6 2 3 3 4 4 4 4 4 2 4 6 2 1 2 5 4 2 5 4 3 3 4 5 3 2
## [24121] 4 6 5 3 2 4 4 2 5 4 5 4 5 6 5 4 1 6 1 3 6 5 5 2 3 5 5 2 6 2 1 5 6 4 2 4
## [24157] 2 3 5 4 2 3 6 1 4 2 5 3 2 2 5 4 3 6 3 4 5 4 2 6 3 3 2 6 2 4 5 2 4 3 3 2
## [24193] 2 6 4 4 3 3 6 3 4 4 5 4 4 4 6 5 3 3 3 3 3 5 2 1 5 3 1 3 3 5 2 3 4 1 5 4
## [24229] 5 3 6 3 5 2 4 5 4 4 3 2 3 4 4 4 4 4 4 1 3 3 3 2 4 5 4 3 4 2 4 6 3 4 5 2
## [24265] 5 4 2 6 3 2 4 4 5 4 1 6 4 4 4 5 4 4 4 2 4 6 4 5 6 4 4 6 3 4 2 4 6 6 4 4
## [24301] 6 2 5 4 4 4 3 4 6 3 4 4 5 4 4 3 3 6 2 4 4 6 6 1 6 3 4 5 2 2 2 2 6 4 4 4
## [24337] 3 4 2 4 3 5 3 3 3 6 6 4 1 4 5 6 1 6 4 6 6 6 5 1 4 2 2 3 3 4 3 2 4 4 4 2
## [24373] 2 1 4 3 4 4 3 3 3 5 2 4 1 2 3 3 1 3 5 4 4 5 6 5 6 2 2 3 4 6 3 3 5 2 6 6
## [24409] 4 3 5 5 2 2 2 4 4 4 2 4 2 1 1 3 4 1 3 6 3 5 3 3 3 4 4 2 2 4 6 2 2 4 6 2
## [24445] 6 6 4 4 2 1 1 5 4 1 3 4 4 4 4 3 3 5 3 5 1 3 4 2 6 5 5 5 2 2 3 2 1 3 1 6
## [24481] 6 3 2 6 1 3 4 1 6 3 4 4 4 4 4 4 5 5 6 5 6 4 5 4 6 3 6 2 1 6 4 2 4 3 6 5
## [24517] 4 2 3 2 4 6 2 6 2 4 2 4 5 3 2 4 4 3 4 3 4 2 4 2 3 2 6 4 4 4 5 5 6 2 5 5
## [24553] 6 5 3 4 4 4 5 4 4 5 4 3 4 5 2 5 5 1 6 1 4 5 4 3 1 3 6 5 6 2 6 6 6 4 6 6
## [24589] 4 2 3 3 5 2 5 6 3 4 5 4 4 2 4 4 4 5 4 5 4 2 4 3 3 6 4 4 3 5 6 4 4 6 6 2
## [24625] 3 4 1 2 5 4 6 6 3 3 4 4 1 5 6 6 4 6 6 3 2 3 6 6 4 4 4 5 3 4 3 2 3 4 2 4
## [24661] 4 4 3 3 6 4 1 4 2 3 4 4 4 2 4 5 1 5 4 1 4 3 6 2 4 4 2 4 6 1 3 6 3 1 4 6
## [24697] 3 4 5 1 6 1 6 3 3 4 5 3 3 4 6 2 4 2 2 4 4 4 3 4 6 1 3 5 2 1 2 1 4 4 5 5
## [24733] 4 2 3 5 1 4 3 5 5 3 4 6 3 6 3 4 2 2 3 3 2 4 4 6 6 4 3 4 6 3 3 4 4 1 2 4
## [24769] 4 2 2 6 2 4 3 2 5 2 4 6 6 1 5 4 4 5 3 4 2 1 6 3 5 3 3 2 4 3 4 6 1 4 3 2
## [24805] 3 4 2 2 4 3 2 3 5 3 2 3 6 5 4 5 5 3 4 4 4 2 4 3 2 4 6 4 4 5 2 5 4 3 4 2
## [24841] 4 2 6 6 2 5 3 5 3 3 5 5 1 4 2 4 4 2 5 2 3 5 5 4 1 3 4 4 5 6 2 4 6 5 6 3
## [24877] 2 3 3 2 2 5 2 3 2 4 3 3 4 3 2 5 3 3 4 3 4 3 2 2 5 3 4 4 3 4 4 4 5 5 3 5
## [24913] 4 4 4 5 3 4 5 6 3 2 3 4 4 1 4 4 3 3 5 5 6 4 4 5 3 6 6 2 5 4 4 3 4 4 4 6
## [24949] 5 6 5 4 4 5 1 4 1 2 5 3 2 3 4 4 3 2 3 3 5 4 2 6 3 2 2 5 5 3 3 4 2 6 3 4
## [24985] 4 3 2 4 4 4 3 3 4 5 5 4 5 4 5 4 4 5 5 5 3 3 5 5 6 4 2 4 1 2 5 6 4 1 2 3
## [25021] 4 4 2 3 5 4 6 4 1 6 4 4 3 3 6 4 4 6 3 4 4 3 2 3 6 2 4 3 4 5 2 6 4 4 4 4
## [25057] 2 3 3 6 4 5 2 3 1 6 5 6 3 6 5 6 5 6 4 4 3 2 3 5 6 4 6 6 5 2 3 4 6 4 3 5
## [25093] 6 5 6 5 6 4 5 4 5 3 4 1 2 5 6 2 4 6 3 5 5 2 5 5 5 3 2 2 2 4 4 4 6 4 2 4
## [25129] 4 5 5 3 4 1 2 1 6 6 3 4 3 6 6 3 4 2 4 5 3 5 4 4 4 5 3 4 5 5 3 4 5 3 4 6
## [25165] 5 3 3 3 4 6 5 1 5 4 4 4 3 5 5 6 2 5 4 5 4 3 4 2 2 4 6 4 3 3 4 4 3 4 5 4
## [25201] 2 6 4 2 2 6 4 2 6 5 2 3 5 3 5 4 3 4 4 4 6 4 2 2 4 4 3 6 4 4 4 6 3 3 4 3
## [25237] 2 2 3 4 6 3 4 3 4 5 4 4 5 2 2 5 3 5 4 1 4 5 3 6 4 4 4 3 2 5 4 3 4 4 3 4
## [25273] 5 1 5 4 4 6 2 3 4 5 6 4 4 2 2 2 2 5 2 5 5 4 3 5 6 4 3 4 6 5 4 3 5 6 6 3
## [25309] 4 3 4 4 2 4 5 3 6 4 5 2 4 3 5 1 2 3 4 3 3 6 6 3 4 5 3 5 1 3 3 1 1 6 1 1
## [25345] 4 6 4 6 3 5 6 4 6 3 3 3 4 2 4 2 3 6 6 2 2 4 5 5 4 5 4 2 4 2 2 4 6 4 4 3
## [25381] 2 4 5 2 4 4 2 4 4 4 4 2 1 3 2 3 4 4 4 4 4 5 4 6 5 4 3 4 5 3 4 6 6 4 4 6
## [25417] 3 5 4 5 2 2 4 5 2 4 6 2 3 4 4 2 5 4 1 5 5 4 4 4 4 3 4 5 3 1 1 2 6 4 2 6
## [25453] 4 3 4 3 4 5 6 6 2 5 5 4 4 2 6 4 1 6 3 5 2 4 5 2 3 2 5 2 4 4 3 3 4 3 1 5
## [25489] 5 1 3 3 4 6 6 1 6 5 2 5 2 4 6 3 5 4 2 2 6 4 2 4 5 4 2 4 4 4 4 2 1 4 6 4
## [25525] 3 4 4 3 3 4 4 4 5 1 5 3 2 5 3 6 4 2 5 5 3 4 6 3 5 4 4 3 5 2 4 4 2 3 5 3
## [25561] 6 3 6 6 4 2 3 5 3 5 4 4 4 3 2 3 6 1 4 3 4 4 2 6 5 3 3 4 4 5 1 1 6 6 2 5
## [25597] 5 3 6 3 3 2 4 5 6 3 5 5 3 4 4 4 4 5 5 2 3 4 6 5 5 3 2 3 2 2 3 4 6 2 6 1
## [25633] 1 4 5 3 5 4 4 5 6 5 3 4 5 4 4 3 1 4 4 2 3 5 5 5 4 4 2 5 2 2 2 6 4 4 4 5
## [25669] 3 2 4 1 6 4 2 5 3 6 4 2 6 2 4 2 4 2 4 3 3 5 2 4 1 1 5 5 6 2 5 4 5 1 4 2
## [25705] 2 6 5 6 6 3 4 3 6 3 4 2 5 3 3 4 6 2 3 5 5 3 4 3 6 4 2 4 4 6 6 2 5 4 2 1
## [25741] 3 4 4 1 6 6 2 2 2 5 4 2 4 4 2 4 3 4 1 6 3 1 5 6 6 6 6 3 1 5 2 4 2 6 4 5
## [25777] 4 5 3 5 4 2 3 1 2 2 2 3 4 2 4 4 1 3 3 6 1 2 5 5 5 6 2 3 6 4 1 4 4 4 2 1
## [25813] 3 6 3 4 2 4 4 3 5 5 4 2 2 4 4 3 4 3 2 5 3 3 4 6 3 3 6 5 3 4 2 1 5 6 5 6
## [25849] 3 3 6 4 4 4 2 4 4 5 5 4 4 4 3 2 4 4 5 4 4 2 4 4 4 6 3 4 3 4 2 4 6 6 4 2
## [25885] 4 6 5 1 4 3 6 5 6 4 4 6 4 6 4 4 4 4 2 3 4 2 4 6 4 1 4 4 6 3 3 4 4 4 5 2
## [25921] 3 2 4 4 1 2 4 4 6 3 2 4 6 2 4 3 4 5 6 5 4 4 3 4 4 5 2 2 3 5 4 5 2 5 6 6
## [25957] 3 4 6 3 6 6 3 2 5 2 2 2 3 5 6 2 4 4 5 2 2 5 4 1 5 1 4 4 4 3 4 3 4 6 3 1
## [25993] 5 3 1 4 6 4 4 2 4 6 2 3 4 2 2 4 3 2 3 4 3 4 4 5 6 4 4 5 4 4 3 4 2 6 2 4
## [26029] 5 4 6 6 1 6 6 5 4 4 4 5 6 6 4 4 4 5 3 4 6 4 4 4 3 3 6 4 6 2 4 4 3 5 2 4
## [26065] 2 5 4 2 2 2 5 4 2 2 3 4 3 2 3 4 4 6 2 4 6 2 6 4 3 2 4 3 6 5 4 2 2 3 5 3
## [26101] 3 3 4 3 3 2 2 2 5 6 5 4 4 2 4 2 4 5 6 6 3 6 3 2 3 5 2 3 5 4 4 2 3 4 6 4
## [26137] 4 3 3 6 2 3 3 1 2 3 6 4 5 3 6 4 4 5 2 6 6 4 4 3 4 4 2 1 6 5 2 6 3 4 4 5
## [26173] 2 3 4 6 3 4 4 4 6 4 5 2 4 4 3 5 6 3 5 6 3 5 1 1 6 4 4 2 3 6 2 1 2 3 6 3
## [26209] 4 2 4 3 4 3 4 2 4 4 3 4 4 1 5 2 4 4 5 4 3 5 4 5 3 5 2 4 4 6 2 5 1 4 5 4
## [26245] 3 6 2 5 2 5 3 2 4 5 4 3 4 4 5 6 5 6 4 1 4 3 3 3 4 1 5 3 4 5 4 3 5 6 5 5
## [26281] 3 5 5 5 5 6 5 6 4 5 3 3 3 3 6 3 6 3 6 3 4 4 3 4 6 5 6 6 3 4 4 2 3 4 4 5
## [26317] 5 4 6 4 5 3 4 6 3 4 6 5 1 3 6 6 6 5 5 6 6 6 4 2 4 4 3 4 4 4 4 5 2 4 6 2
## [26353] 2 5 4 6 3 5 4 5 3 2 6 5 6 3 2 4 4 4 2 3 1 4 4 4 2 5 5 4 4 2 2 6 4 2 4 3
## [26389] 4 2 4 4 6 6 6 4 4 3 2 2 4 6 4 2 6 4 2 5 3 4 4 3 5 4 5 3 4 4 4 3 5 3 4 5
## [26425] 2 2 5 3 4 4 5 4 4 3 1 2 3 4 2 6 2 4 5 5 6 5 2 1 4 1 5 6 3 4 1 3 3 3 4 4
## [26461] 3 3 2 4 5 6 4 3 6 4 3 2 6 2 4 4 5 2 5 2 6 6 5 5 4 3 2 6 3 2 5 4 4 2 3 4
## [26497] 2 2 4 5 3 2 3 3 3 5 5 4 3 2 4 2 4 6 1 4 3 3 5 3 4 1 1 2 2 6 2 3 2 6 2 4
## [26533] 2 2 5 5 4 5 1 2 3 5 4 2 4 1 6 1 2 1 6 5 4 5 4 5 4 2 6 6 3 3 4 1 4 3 5 2
## [26569] 2 3 3 2 3 3 3 3 5 3 4 1 1 5 3 5 3 4 1 4 6 6 5 1 4 2 4 4 3 4 4 5 4 6 4 4
## [26605] 4 5 5 6 5 6 4 2 4 6 6 2 4 4 2 5 5 3 4 6 4 1 4 5 3 6 5 4 5 3 5 3 6 4 4 4
## [26641] 5 4 4 1 5 2 3 5 5 4 4 1 2 3 2 3 5 2 3 5 6 4 4 5 1 6 4 2 4 2 1 4 2 2 2 6
## [26677] 4 4 6 3 6 4 4 3 3 3 5 3 1 4 3 5 2 4 5 4 4 3 5 6 5 2 4 5 6 1 2 6 3 4 4 2
## [26713] 1 3 6 1 4 1 5 6 3 3 3 6 6 3 3 5 3 4 3 6 3 2 5 4 6 4 4 5 4 6 3 4 5 4 2 4
## [26749] 4 6 4 5 2 6 4 5 3 5 5 3 4 2 4 3 3 4 4 4 4 5 2 1 5 1 6 3 6 3 4 4 1 3 2 2
## [26785] 6 5 3 1 1 4 5 2 6 4 3 2 4 4 4 4 3 4 5 5 5 2 3 4 5 5 4 4 5 3 5 6 2 6 3 5
## [26821] 2 2 3 3 3 5 6 1 5 4 5 6 4 3 6 3 3 4 5 3 6 5 4 5 2 6 4 1 6 2 4 4 3 6 6 5
## [26857] 3 4 4 3 3 4 1 3 4 6 6 2 1 3 2 6 3 4 2 4 3 4 5 2 5 4 5 4 2 2 5 3 1 5 6 4
## [26893] 5 4 2 4 2 5 4 3 3 6 2 6 6 5 6 4 2 2 2 5 4 4 3 4 5 4 2 1 3 6 4 5 3 2 3 4
## [26929] 3 6 4 3 6 4 4 2 4 4 5 4 3 4 5 4 1 6 4 5 2 5 4 4 2 4 3 5 4 6 4 2 3 2 6 6
## [26965] 5 5 6 2 3 2 4 4 2 6 3 6 2 3 5 4 3 6 3 4 6 3 3 4 4 4 4 2 4 6 3 5 3 4 6 1
## [27001] 4 1 3 2 4 2 6 2 4 6 2 2 4 3 5 4 1 4 2 2 4 5 4 3 4 2 6 5 2 4 5 6 3 6 4 4
## [27037] 5 4 3 5 5 5 6 4 4 4 4 4 4 5 2 4 4 4 5 4 6 5 4 4 6 5 3 6 4 2 5 5 2 3 3 4
## [27073] 3 2 6 5 6 3 2 4 2 5 4 5 5 4 5 4 3 3 2 5 4 5 3 4 4 4 2 2 5 3 3 5 4 4 3 4
## [27109] 4 6 4 5 3 6 4 4 4 5 2 4 3 3 4 4 5 2 6 2 5 3 6 2 5 2 3 2 4 4 4 3 3 1 5 4
## [27145] 5 4 3 5 3 4 4 6 3 2 6 6 6 2 6 2 3 5 5 4 4 5 4 6 3 5 5 4 1 2 3 5 3 3 6 4
## [27181] 1 6 3 6 3 2 4 6 5 4 6 5 1 2 2 5 3 2 4 4 5 4 6 4 4 5 5 1 3 4 4 5 6 4 4 2
## [27217] 4 1 2 3 3 6 5 3 2 3 4 4 5 2 5 3 4 6 2 2 4 2 5 4 5 4 6 5 3 2 2 4 4 4 4 4
## [27253] 4 2 2 5 6 5 2 4 2 2 6 6 5 5 4 5 4 6 1 3 5 1 4 4 5 1 4 4 5 4 2 4 6 4 4 4
## [27289] 3 5 4 4 5 1 2 5 4 4 4 3 3 4 1 5 3 2 1 4 5 6 4 6 2 1 4 1 5 5 5 6 4 6 6 5
## [27325] 2 4 3 2 2 4 4 3 2 3 3 6 3 5 4 4 4 2 1 4 4 2 3 5 5 2 4 2 6 5 1 5 5 2 5 1
## [27361] 4 5 5 5 1 6 2 4 5 5 4 4 4 4 4 3 2 4 6 3 5 6 2 3 5 5 2 4 2 3 5 2 3 4 3 5
## [27397] 3 1 2 4 4 4 3 6 2 5 3 4 3 4 4 5 4 3 3 3 3 2 6 4 6 4 4 4 4 4 4 4 2 4 6 1
## [27433] 2 6 3 3 6 5 5 3 6 3 5 3 6 6 1 6 1 5 5 4 4 4 3 4 6 4 5 4 5 3 3 4 4 4 4 4
## [27469] 3 4 6 2 3 6 4 4 2 3 3 6 4 5 4 4 5 5 5 4 3 4 3 4 4 5 6 6 4 2 6 5 4 6 2 5
## [27505] 3 6 2 2 4 5 2 6 4 5 6 6 4 4 2 4 6 4 2 4 6 4 1 2 6 2 5 4 5 5 3 2 4 6 5 5
## [27541] 3 5 6 4 4 4 2 3 5 5 5 2 6 4 6 4 6 6 2 3 3 2 4 1 6 2 2 6 6 2 5 1 6 4 3 1
## [27577] 5 3 3 2 2 3 4 3 2 2 5 4 4 2 5 6 3 4 3 3 2 2 2 5 3 5 4 4 5 5 4 6 2 4 5 4
## [27613] 4 3 3 4 6 3 3 6 4 4 2 6 3 3 5 5 4 3 3 1 3 4 6 6 4 2 4 5 2 2 6 2 5 2 6 6
## [27649] 4 5 6 5 3 4 3 2 2 3 3 6 5 4 3 6 3 3 3 6 3 5 2 1 3 1 5 4 1 4 3 4 6 4 3 2
## [27685] 3 1 2 3 2 5 6 4 6 4 3 4 6 5 1 3 6 1 5 5 3 4 5 4 6 6 3 1 6 3 2 4 4 3 3 4
## [27721] 3 2 4 3 2 2 4 3 2 2 2 5 5 2 4 3 4 3 5 4 4 5 3 4 5 4 2 6 6 6 3 3 4 2 4 3
## [27757] 2 5 6 2 3 3 1 5 3 3 2 4 3 4 6 6 2 4 4 3 4 5 6 4 6 5 6 2 3 6 3 5 4 3 6 2
## [27793] 1 6 4 3 4 3 3 1 4 3 1 5 6 3 5 5 6 4 6 4 4 4 3 4 5 4 1 2 4 5 6 5 3 2 6 2
## [27829] 2 4 2 4 6 4 4 4 3 3 2 5 4 5 4 3 3 4 3 1 4 5 1 1 4 6 4 2 5 2 3 3 3 4 2 2
## [27865] 5 3 3 2 4 4 2 6 2 3 6 4 6 3 3 3 2 5 6 4 2 4 5 4 5 6 3 5 3 3 5 2 4 4 2 4
## [27901] 3 5 2 4 4 3 4 3 5 3 6 4 2 3 5 4 4 6 6 4 6 4 1 4 2 4 4 3 6 3 4 3 5 5 3 3
## [27937] 1 6 4 3 6 2 1 4 5 3 4 4 4 2 6 6 2 5 4 2 4 3 4 3 3 5 2 4 6 4 6 6 5 4 3 5
## [27973] 4 5 6 2 5 3 2 4 6 6 6 4 6 3 5 6 5 6 5 6 6 4 4 4 1 4 4 2 6 5 4 2 3 2 5 6
## [28009] 1 4 4 2 2 4 4 6 2 4 4 4 3 6 5 4 2 4 4 3 2 3 2 4 6 2 5 5 6 6 4 4 6 4 2 1
## [28045] 2 2 3 5 1 6 4 4 2 2 2 6 4 4 3 4 6 5 4 5 5 1 4 6 4 3 4 2 2 2 3 3 1 4 2 3
## [28081] 5 1 3 4 4 6 4 3 6 5 2 5 3 3 6 6 4 2 4 5 5 6 1 4 5 2 6 4 4 4 4 4 2 4 4 5
## [28117] 6 3 5 4 1 6 6 3 4 6 4 5 4 6 4 4 4 1 4 4 1 2 5 4 6 2 3 4 2 2 4 6 5 4 2 4
## [28153] 4 4 4 2 3 4 3 1 3 4 5 5 4 4 6 3 4 3 4 3 4 1 1 4 3 4 4 5 3 5 4 6 4 6 4 1
## [28189] 6 4 3 6 5 6 2 4 4 4 4 5 4 4 3 5 1 6 4 3 2 4 5 5 4 3 6 6 4 6 2 2 2 4 3 4
## [28225] 4 3 4 1 4 3 4 4 5 3 3 3 3 4 4 4 1 4 5 6 5 3 1 6 4 3 6 5 6 4 6 6 4 6 3 4
## [28261] 6 1 6 6 5 3 4 3 3 3 5 4 2 2 4 4 4 3 4 4 4 3 3 3 4 5 5 2 2 6 4 5 4 1 3 4
## [28297] 4 3 4 6 2 4 5 4 5 6 2 5 5 6 6 4 4 2 2 4 2 4 4 5 2 1 6 5 5 6 6 4 4 4 4 2
## [28333] 3 4 3 3 5 4 3 4 3 6 5 4 6 6 6 3 4 2 4 3 4 5 3 4 4 1 3 6 3 3 1 3 5 3 2 3
## [28369] 4 4 3 6 4 4 5 4 3 5 2 4 5 5 4 3 4 4 3 6 5 5 2 6 5 1 5 3 4 2 2 3 3 6 5 6
## [28405] 2 4 4 6 4 3 4 3 2 5 3 5 4 4 4 3 6 3 4 2 3 4 4 6 2 2 2 3 3 6 4 4 5 4 4 4
## [28441] 5 3 3 6 2 2 5 5 3 4 6 5 5 1 6 3 2 1 4 4 5 4 6 4 4 4 4 1 3 3 5 4 2 1 4 1
## [28477] 4 3 4 3 4 4 4 4 5 3 5 4 6 4 6 4 6 2 4 4 6 6 2 4 3 6 4 4 1 3 4 5 2 4 4 3
## [28513] 3 4 4 3 4 4 3 5 6 4 6 1 1 4 4 4 2 3 3 3 6 4 4 2 2 2 4 4 4 5 5 5 4 4 3 3
## [28549] 3 4 4 3 6 5 4 4 4 3 4 5 5 4 5 2 5 6 3 4 1 4 2 2 4 1 5 4 2 3 4 5 1 5 4 4
## [28585] 4 6 6 4 5 5 5 6 5 5 5 4 4 4 3 3 2 2 3 4 3 6 4 4 6 5 5 3 2 3 2 3 2 4 3 2
## [28621] 4 4 2 2 2 2 3 4 4 3 4 5 4 4 4 3 6 3 2 4 4 6 4 6 4 5 5 3 6 4 5 1 6 6 4 3
## [28657] 5 6 1 6 6 4 1 6 3 6 2 4 4 6 4 6 3 4 1 2 3 3 3 2 3 2 4 2 3 5 6 3 3 2 4 3
## [28693] 5 2 6 3 3 4 5 2 2 4 2 2 4 5 4 4 5 3 2 2 1 5 6 5 6 5 3 6 4 2 4 5 3 3 4 4
## [28729] 4 1 4 1 5 4 4 4 4 4 6 3 4 4 4 4 2 6 3 4 2 2 3 5 4 1 5 5 3 4 3 5 5 1 3 4
## [28765] 3 1 3 3 4 3 3 6 6 5 6 4 4 4 2 3 5 6 4 5 6 4 4 4 5 4 6 5 4 5 3 5 4 3 3 6
## [28801] 5 3 4 4 4 4 6 3 2 4 3 2 4 2 5 4 4 6 2 3 4 5 6 6 6 3 5 4 4 6 6 4 2 6 4 4
## [28837] 2 5 6 4 3 2 2 2 4 5 5 3 4 5 4 3 4 4 6 3 4 6 5 4 6 3 6 3 4 6 5 4 4 5 4 3
## [28873] 5 5 4 4 3 5 3 3 6 6 6 1 3 4 4 5 4 3 5 5 3 3 4 3 4 3 3 2 4 5 1 3 5 4 4 4
## [28909] 4 6 5 3 1 5 5 3 1 3 3 4 3 2 2 4 4 1 2 1 5 6 2 3 6 4 6 6 4 6 2 6 4 4 6 2
## [28945] 4 5 6 2 3 5 2 6 6 3 6 1 4 3 4 2 2 4 3 4 4 2 5 4 5 3 3 4 6 2 2 4 2 6 2 3
## [28981] 2 5 6 3 1 4 2 2 5 4 4 3 2 6 3 5 5 2 2 5 4 6 2 6 5 4 6 4 5 3 4 2 5 4 5 1
## [29017] 6 5 4 3 6 6 3 4 5 4 4 6 2 6 4 4 4 4 4 3 4 3 2 3 4 3 3 2 2 4 5 2 6 2 2 1
## [29053] 3 6 6 6 3 3 2 1 4 5 3 3 4 4 3 6 3 4 5 4 4 3 5 5 2 4 1 2 4 2 4 3 5 2 2 3
## [29089] 5 3 4 2 4 4 4 3 4 2 5 4 3 4 4 3 4 6 6 1 4 4 6 4 3 4 3 2 4 5 3 6 3 4 4 2
## [29125] 2 4 4 3 4 4 2 4 4 4 6 4 6 6 3 4 2 6 4 5 2 2 4 3 1 6 6 4 4 2 1 2 2 4 5 2
## [29161] 4 5 2 3 4 4 6 4 6 5 6 5 6 6 4 6 1 6 5 4 1 2 3 4 4 4 3 6 4 5 2 2 4 5 3 2
## [29197] 4 6 2 5 4 6 5 5 4 3 5 2 2 3 4 6 4 3 6 3 5 5 2 4 4 1 4 2 2 3 4 6 4 6 2 6
## [29233] 2 2 5 5 5 3 6 5 4 5 4 5 3 3 1 4 2 4 3 4 6 2 6 1 2 3 4 4 5 2 1 2 2 4 4 3
## [29269] 5 6 2 5 4 2 3 3 2 4 3 4 4 4 2 5 6 5 4 1 5 2 1 4 4 3 2 4 4 3 3 3 2 2 1 3
## [29305] 6 6 6 6 5 2 4 6 4 2 2 5 3 4 4 4 5 3 3 4 4 4 6 5 3 6 1 3 2 3 2 5 3 1 4 5
## [29341] 4 6 6 4 2 3 2 4 1 3 3 3 2 3 3 2 2 4 3 4 2 5 2 4 3 6 4 5 4 6 4 6 3 5 4 4
## [29377] 5 4 6 4 4 4 4 4 6 3 5 3 4 5 4 2 2 6 6 6 3 1 1 5 6 3 4 6 3 6 5 3 2 2 6 2
## [29413] 4 3 6 6 2 6 4 1 3 5 3 3 2 4 5 5 4 2 2 5 3 1 6 5 4 3 5 4 4 4 5 4 3 3 5 4
## [29449] 4 3 6 1 4 5 2 1 5 6 4 6 6 3 4 6 3 2 4 6 4 2 5 6 3 4 5 5 6 6 3 3 3 4 1 3
## [29485] 3 3 3 4 4 6 4 2 3 4 6 6 6 5 3 6 3 5 4 2 1 3 3 4 5 3 5 1 3 4 3 3 5 6 5 6
## [29521] 3 3 3 3 5 5 4 4 5 4 2 5 4 5 4 4 3 2 4 4 3 5 3 4 5 2 3 6 1 3 4 2 2 2 5 4
## [29557] 6 4 4 3 5 5 1 3 5 4 6 2 4 4 2 3 4 2 3 2 1 1 4 6 6 4 6 4 5 6 6 2 6 3 6 5
## [29593] 2 2 5 4 4 2 2 4 2 4 5 3 3 4 6 1 3 6 2 4 5 2 5 6 2 5 3 5 4 3 2 2 4 3 3 2
## [29629] 2 3 3 3 2 3 4 4 5 3 6 6 3 1 6 4 5 4 5 5 4 3 4 4 4 4 3 1 4 4 4 5 4 5 3 4
## [29665] 1 2 2 4 4 4 5 4 4 3 5 3 6 2 4 3 6 5 1 5 3 4 2 4 6 3 4 4 2 5 5 4 6 2 4 4
## [29701] 4 4 4 2 4 1 1 4 2 2 3 4 4 3 4 4 2 6 3 6 5 4 5 4 3 2 4 4 5 1 5 2 6 2 4 4
## [29737] 2 2 3 5 1 5 4 1 2 5 6 3 4 4 3 5 2 4 3 3 3 1 4 4 3 4 4 3 3 2 4 4 4 5 5 3
## [29773] 1 4 5 4 6 4 5 5 2 3 6 4 4 6 4 4 3 3 3 4 6 5 3 4 2 6 5 4 4 4 3 3 4 2 6 4
## [29809] 3 5 3 1 5 5 2 3 6 6 6 6 4 3 2 4 6 4 5 3 5 4 3 6 5 6 6 6 3 4 6 4 1 3 3 1
## [29845] 2 3 3 5 4 3 2 6 2 2 4 4 4 4 5 1 4 6 5 6 3 4 6 3 2 2 4 4 6 3 3 3 4 3 4 4
## [29881] 3 4 3 4 6 5 3 5 5 2 4 4 2 2 2 3 4 2 4 4 4 5 3 6 2 3 3 3 4 5 6 4 4 4 5 5
## [29917] 4 6 4 4 4 2 5 4 3 2 4 4 3 3 2 5 4 2 5 5 5 2 6 4 4 6 1 3 2 2 5 5 1 2 6 4
## [29953] 3 4 4 5 4 4 5 4 6 2 2 4 5 4 5 4 3 2 4 4 2 4 6 2 4 1 5 5 5 3 4 5 4 4 5 4
## [29989] 4 6 5 4 3 6 2 2 3 4 6 4 4 5 6 3 5 5 6 6 2 4 6 4 6 4 3 1 5 2 2 2 5 5 2 4
## [30025] 4 4 4 1 4 4 4 5 6 6 5 5 4 4 4 2 5 5 4 4 2 3 5 5 5 4 4 4 5 3 4 1 5 2 5 4
## [30061] 3 2 6 2 3 2 4 6 3 2 5 2 3 3 4 5 4 3 3 4 3 4 6 3 6 3 4 4 1 3 6 6 4 5 2 4
## [30097] 6 6 2 5 4 6 4 2 4 4 4 4 3 3 1 6 2 1 5 4 4 4 2 3 4 3 6 4 6 3 4 6 1 5 4 6
## [30133] 3 4 4 2 6 5 6 6 3 4 2 5 2 3 6 5 4 3 3 2 4 4 1 5 1 4 4 3 3 4 4 3 4 2 4 2
## [30169] 2 2 2 2 5 3 3 2 4 4 2 6 4 3 4 5 4 6 2 3 4 1 4 2 5 6 3 5 6 6 3 1 5 2 4 4
## [30205] 5 2 3 6 4 4 4 3 5 4 4 5 2 6 2 3 4 1 4 4 4 3 4 3 3 4 3 2 5 4 4 3 3 3 2 4
## [30241] 2 2 5 4 1 6 5 5 5 6 1 3 2 5 4 6 5 5 3 3 2 2 6 4 4 6 4 2 2 4 3 2 4 2 2 2
## [30277] 5 5 5 4 4 2 1 4 4 6 6 2 4 2 4 2 4 5 2 1 2 4 3 3 4 2 5 4 4 4 4 4 4 3 5 5
## [30313] 4 2 5 4 4 6 4 5 6 4 4 2 4 4 3 3 4 3 3 3 5 3 5 4 6 4 6 4 6 1 4 4 4 6 5 5
## [30349] 3 4 6 3 4 5 4 2 2 6 4 3 3 6 2 1 3 2 4 5 5 5 4 5 2 3 1 4 5 3 6 4 1 3 3 5
## [30385] 6 3 5 6 6 3 1 4 4 5 3 2 6 4 4 4 3 1 4 4 3 4 6 5 4 3 6 3 4 6 4 5 3 5 6 2
## [30421] 2 4 5 1 2 3 3 4 3 4 3 3 3 3 5 5 6 2 4 3 5 2 3 1 6 5 4 3 3 3 3 3 3 6 1 2
## [30457] 5 4 6 4 1 2 3 6 3 4 4 6 4 5 6 3 6 5 3 3 6 6 2 3 5 4 6 4 4 4 4 1 5 4 4 3
## [30493] 6 3 3 4 3 1 3 3 6 2 1 4 3 5 3 3 4 2 2 4 6 2 5 1 2 5 4 5 3 6 6 4 5 4 3 1
## [30529] 4 2 6 3 4 4 3 3 3 3 3 3 4 2 2 5 5 6 2 2 4 3 4 5 3 3 6 3 5 6 3 4 2 2 5 4
## [30565] 2 3 4 4 4 3 4 6 4 4 4 6 4 4 4 6 4 6 4 3 3 4 3 3 5 3 5 4 4 6 2 2 4 4 4 4
## [30601] 4 4 2 4 4 1 4 4 6 6 4 3 6 3 4 5 4 6 3 2 3 1 4 6 6 2 4 6 4 4 3 4 4 2 6 4
## [30637] 6 3 4 5 1 4 2 2 3 5 4 3 6 2 5 4 6 4 5 5 4 3 3 6 5 3 3 1 6 3 3 4 5 4 2 3
## [30673] 3 1 5 5 3 4 3 5 3 4 2 3 4 3 4 3 6 3 4 5 4 4 6 2 4 5 3 3 5 4 3 4 6 5 4 6
## [30709] 2 4 4 3 4 4 4 2 6 4 5 2 3 3 5 6 2 3 1 4 2 4 4 4 4 2 4 6 1 4 4 2 4 1 1 4
## [30745] 2 3 2 5 5 3 2 3 6 5 4 3 5 4 4 6 5 6 3 2 2 5 2 3 2 6 3 4 4 4 1 3 3 4 5 2
## [30781] 6 4 3 4 5 2 3 3 4 6 4 5 3 1 4 5 6 6 2 3 5 1 3 2 4 5 5 4 4 4 4 1 2 4 6 4
## [30817] 4 4 5 5 5 4 4 4 3 4 5 4 6 5 4 6 4 5 4 4 3 5 5 2 2 2 5 5 5 5 5 3 4 6 3 6
## [30853] 4 2 6 4 4 4 5 4 2 5 6 3 4 4 4 4 4 2 4 2 2 3 4 4 4 6 4 6 6 4 4 6 4 6 6 3
## [30889] 6 6 6 6 3 5 3 4 6 5 5 5 2 4 6 4 3 3 4 3 4 4 6 6 2 2 2 3 3 2 5 3 6 4 2 1
## [30925] 4 4 3 3 3 4 5 4 2 1 4 6 3 4 3 3 1 4 4 6 5 4 4 5 5 4 4 2 4 4 4 5 6 5 4 5
## [30961] 3 3 3 3 3 4 5 3 4 5 3 4 6 2 4 6 3 4 4 4 3 4 4 3 4 4 2 6 3 2 3 4 4 6 4 3
## [30997] 6 2 5 6 4 5 4 5 5 4 4 5 4 4 3 4 2 3 6 5 3 6 5 4 5 2 6 3 3 4 4 4 2 3 5 2
## [31033] 6 3 5 3 3 4 4 3 3 4 4 2 6 3 4 4 4 5 6 6 3 3 3 2 5 5 4 3 4 6 6 5 2 2 2 6
## [31069] 4 4 5 5 5 4 6 6 3 6 2 2 5 4 6 2 3 5 4 5 5 3 5 6 4 3 5 1 6 1 6 1 5 5 5 5
## [31105] 1 2 2 5 5 4 4 6 5 4 2 5 6 4 4 5 2 2 5 3 3 5 1 6 3 6 4 5 2 6 4 5 6 2 6 4
## [31141] 2 2 3 3 5 5 4 4 5 4 4 2 5 3 4 6 4 6 2 4 4 4 4 4 3 2 6 3 5 6 1 6 3 5 4 5
## [31177] 3 5 4 4 3 3 4 6 3 4 6 4 4 1 2 3 2 3 3 3 4 4 4 4 5 6 4 3 6 3 4 5 4 3 2 3
## [31213] 5 5 4 2 4 2 4 2 5 3 6 4 6 3 5 3 6 4 4 5 3 3 4 3 3 4 4 5 4 6 5 6 5 3 2 2
## [31249] 3 4 6 4 4 2 5 4 5 4 4 4 4 2 4 6 5 4 3 2 3 4 5 5 6 4 1 5 4 4 4 3 5 5 5 4
## [31285] 1 4 2 4 4 5 4 3 6 2 4 4 3 4 3 3 6 3 3 4 3 3 4 3 2 5 4 6 4 4 4 3 5 4 3 2
## [31321] 6 2 4 4 3 4 6 4 3 3 6 4 2 5 4 3 6 2 4 4 3 2 6 3 4 3 4 4 3 6 4 4 2 4 5 4
## [31357] 5 4 4 2 4 3 4 4 4 1 5 3 5 4 6 6 6 4 6 4 2 6 6 4 5 5 5 3 6 2 2 5 1 5 1 3
## [31393] 4 2 6 4 5 2 4 3 5 5 5 3 2 4 4 6 1 4 6 5 4 4 1 4 5 4 5 4 5 4 6 5 3 4 3 4
## [31429] 2 6 4 5 5 6 5 3 4 4 6 4 5 6 3 3 6 2 2 6 4 4 4 2 4 4 5 2 5 4 2 6 6 3 3 6
## [31465] 5 4 2 5 5 1 4 3 4 2 4 4 6 3 4 4 6 5 5 5 5 3 3 4 3 6 1 5 2 1 2 5 1 3 5 6
## [31501] 4 5 4 6 6 6 3 4 4 4 6 3 5 1 5 5 3 4 4 6 5 4 3 5 3 6 3 1 5 4 4 5 4 4 2 3
## [31537] 5 5 4 5 2 4 6 4 4 4 4 5 4 6 2 3 4 2 4 4 1 4 2 4 2 3 2 3 2 2 5 5 4 6 5 4
## [31573] 5 5 4 4 3 4 4 6 5 4 3 5 4 2 3 5 5 6 6 6 6 4 6 5 4 1 6 5 2 5 4 3 2 4 4 6
## [31609] 6 2 6 6 6 2 3 5 2 4 4 1 4 5 4 3 5 3 2 4 4 6 3 6 4 5 2 3 5 6 4 3 2 5 3 5
## [31645] 2 2 2 2 3 4 2 5 2 4 1 3 2 4 3 3 4 4 5 4 3 6 3 2 3 4 6 3 3 3 6 5 5 4 6 2
## [31681] 5 4 4 5 6 4 3 5 6 6 3 6 4 4 2 2 5 4 4 5 4 5 6 3 1 4 3 5 4 3 4 6 2 5 4 2
## [31717] 3 3 5 5 6 3 3 5 2 3 1 4 4 4 2 3 2 5 5 4 6 5 2 6 4 4 4 6 2 4 6 5 4 6 4 4
## [31753] 1 2 2 2 5 4 3 3 2 4 3 5 4 5 6 3 2 5 4 4 4 4 1 5 3 4 4 5 2 2 2 5 4 3 4 4
## [31789] 3 5 4 3 5 3 4 3 5 5 3 2 2 4 4 4 3 3 6 4 5 2 4 4 3 4 5 5 4 4 5 4 5 6 2 2
## [31825] 5 4 5 3 3 5 4 4 3 4 4 4 4 4 4 4 4 6 3 4 2 2 2 3 3 4 4 4 4 3 6 5 5 4 4 4
## [31861] 2 3 3 4 3 2 5 4 1 6 3 4 2 5 3 2 6 4 5 4 3 1 2 4 4 4 2 3 3 5 6 6 1 3 4 5
## [31897] 5 1 6 4 2 3 1 5 5 4 1 3 4 3 2 4 4 4 3 4 5 3 2 4 5 4 5 2 6 4 3 5 4 1 4 2
## [31933] 3 6 4 5 2 5 3 4 5 5 4 2 6 4 4 4 4 6 6 4 4 5 3 5 4 5 2 6 3 4 5 5 3 6 4 1
## [31969] 2 6 4 4 4 4 3 6 6 2 4 4 3 2 3 4 3 4 6 4 5 4 4 4 4 4 4 6 4 3 1 4 6 4 4 3
## [32005] 6 4 4 2 2 2 5 5 4 4 4 4 4 4 6 4 2 3 4 5 4 2 4 1 3 3 1 5 4 4 4 6 5 5 2 5
## [32041] 2 3 5 6 1 2 4 3 4 4 4 2 2 2 4 3 6 3 1 2 4 4 4 3 3 4 3 5 4 6 2 5 1 4 3 5
## [32077] 6 4 3 4 4 4 2 4 3 3 4 5 3 3 5 3 2 4 3 4 5 4 4 5 3 3 1 5 4 4 5 4 4 4 2 3
## [32113] 4 2 3 4 3 4 6 4 5 3 4 5 5 5 5 6 4 1 4 4 3 2 5 2 4 2 4 3 6 5 4 5 1 3 6 6
## [32149] 3 5 2 4 4 4 3 4 4 4 4 3 3 4 2 4 2 1 3 5 5 6 5 4 6 2 3 2 3 6 4 4 3 3 4 3
## [32185] 2 2 6 3 1 4 4 4 4 4 4 4 3 2 4 3 2 4 3 2 2 2 4 3 4 2 3 4 5 4 4 3 4 5 3 4
## [32221] 4 2 3 5 4 3 4 1 3 3 4 3 6 5 2 5 2 4 2 4 4 6 5 5 3 3 4 2 6 3 4 5 5 6 6 3
## [32257] 3 4 2 4 1 6 3 2 3 3 4 3 6 2 4 6 3 3 4 6 1 5 4 4 4 4 3 5 4 4 3 5 4 4 2 6
## [32293] 5 5 5 6 4 4 3 3 6 4 4 3 4 4 6 6 4 3 4 3 3 5 4 4 6 5 4 2 1 4 2 2 6 2 2 5
## [32329] 6 6 6 3 4 4 5 2 4 3 4 4 4 4 5 1 5 3 3 3 3 4 1 2 2 3 3 5 6 6 3 6 2 6 4 4
## [32365] 2 5 2 2 6 4 6 4 5 6 4 3 3 2 6 3 6 6 4 4 5 4 4 6 1 5 2 5 2 4 6 4 4 5 3 6
## [32401] 3 3 3 2 3 6 6 6 4 4 5 2 4 4 4 2 5 6 6 4 2 3 4 4 5 6 6 3 3 5 4 6 6 4 3 4
## [32437] 4 6 4 3 4 6 4 4 3 5 3 2 4 4 4 5 4 6 4 5 4 5 2 6 3 4 3 4 2 2 5 5 2 4 1 2
## [32473] 4 4 5 4 3 4 4 6 5 3 2 2 5 5 4 4 2 6 5 4 5 5 1 3 5 5 5 2 3 5 4 3 3 2 6 6
## [32509] 5 2 5 5 1 6 2 2 6 2 6 3 4 4 5 4 4 5 5 5 3 4 3 4 4 3 4 4 6 6 3 1 1 6 6 6
## [32545] 5 3 3 3 2 6 2 5 5 4 6 3 5 3 4 4 3 2 4 3 4 2 6 6 6 3 1 6 2 4 6 5 6 3 2 4
## [32581] 3 5 5 5 2 6 2 4 4 3 2 3 6 2 2 2 3 4 4 5 4 2 3 3 4 4 5 3 5 4 4 3 3 5 2 3
## [32617] 5 5 4 4 5 3 6 2 3 6 5 3 4 4 2 6 1 4 2 4 2 3 5 4 5 4 1 3 3 5 4 3 2 5 4 2
## [32653] 3 4 2 3 6 2 2 5 4 6 5 4 3 3 4 5 4 4 4 4 3 4 5 4 2 1 4 5 5 5 3 4 1 6 2 4
## [32689] 4 2 5 4 4 5 5 4 2 5 4 4 4 4 2 6 5 4 4 3 6 6 2 4 3 2 5 3 5 3 4 2 2 4 6 2
## [32725] 2 4 1 3 2 3 4 2 4 5 5 4 5 4 1 4 4 3 2 6 6 5 4 5 5 4 4 4 2 3 4 2 4 4 3 5
## [32761] 5 6 4 5 4 4 4 4 2 4 4 2 5 4 5 3 4 5 6 2 4 6 4 4 5 3 4 5 3 3 3 4 6 4 4 3
## [32797] 1 5 4 5 2 6 6 5 4 2 4 4 2 3 2 3 4 5 3 3 1 6 1 2 5 4 3 2 4 3 4 5 4 4 2 5
## [32833] 3 5 3 2 2 4 2 2 4 6 5 5 1 3 5 1 5 5 5 4 4 3 3 4 3 4 6 4 4 3 2 3 2 4 4 5
## [32869] 4 3 4 2 3 3 4 4 3 4 6 3 1 1 6 4 5 3 4 4 2 5 2 1 2 2 2 2 2 5 4 3 4 5 4 4
## [32905] 3 6 2 3 6 4 2 3 3 5 5 4 1 6 4 6 4 3 5 2 4 6 3 4 6 4 4 5 2 3 3 3 6 5 6 4
## [32941] 3 4 6 3 2 4 2 3 3 4 3 4 4 3 1 4 4 3 5 5 6 3 5 6 4 2 3 3 4 3 3 2 3 4 6 5
## [32977] 3 4 2 4 4 4 5 4 4 2 6 1 2 2 5 5 5 4 5 5 6 4 6 4 4 2 5 3 6 5 3 5 5 3 5 5
## [33013] 1 2 4 6 5 6 6 2 4 4 6 4 5 6 3 5 4 3 5 2 5 4 6 4 3 5 4 4 4 4 3 4 6 4 5 4
## [33049] 5 2 4 5 5 4 2 3 3 4 6 4 4 3 2 2 3 4 4 3 1 4 5 2 6 6 5 2 5 5 6 5 4 2 4 3
## [33085] 2 2 2 4 6 6 3 4 4 3 4 2 4 5 5 1 5 3 4 2 4 2 6 4 6 5 4 4 3 6 3 4 1 3 2 3
## [33121] 4 3 6 4 5 3 2 4 5 4 6 4 4 3 2 4 4 4 3 5 4 6 5 4 3 5 4 5 5 3 5 4 6 2 6 6
## [33157] 6 3 4 6 5 5 4 3 4 4 6 3 2 4 2 4 5 3 6 6 4 2 5 4 4 5 6 5 2 5 4 4 4 5 6 1
## [33193] 4 2 3 4 6 5 1 4 4 4 5 4 6 4 2 4 4 4 2 4 5 4 4 5 4 3 4 3 5 2 5 6 6 5 3 6
## [33229] 5 1 5 6 2 5 1 3 6 4 6 4 5 3 2 4 2 4 4 5 4 4 5 3 3 2 3 4 4 4 4 2 5 3 4 5
## [33265] 4 4 5 3 4 5 4 6 4 5 5 4 4 2 4 1 3 5 3 5 5 5 4 4 4 5 6 5 5 6 2 4 2 2 3 4
## [33301] 2 4 4 4 3 3 2 4 4 2 4 3 2 4 4 4 5 4 1 2 5 4 5 2 3 5 3 2 2 4 4 5 5 3 4 2
## [33337] 2 4 5 4 3 4 3 4 2 4 3 2 2 4 4 5 3 4 4 2 4 2 2 3 6 6 3 4 4 1 6 4 3 6 5 4
## [33373] 5 4 4 3 5 4 2 4 2 4 4 2 4 6 6 2 6 3 4 2 2 2 4 3 4 4 5 4 3 4 2 1 4 2 2 5
## [33409] 3 3 5 3 3 6 5 1 6 5 4 4 5 2 3 5 2 4 5 3 6 5 6 1 4 4 6 6 3 5 2 2 5 5 6 2
## [33445] 5 2 2 4 3 4 1 6 4 5 4 3 4 4 3 2 4 2 6 5 5 5 5 4 4 5 2 3 4 6 4 4 4 4 3 4
## [33481] 3 4 6 4 4 4 5 6 2 2 5 4 4 2 4 5 6 3 1 3 4 2 3 5 6 3 4 5 6 4 4 4 6 4 3 6
## [33517] 3 4 4 2 2 3 2 3 2 2 6 3 3 3 1 3 4 4 4 3 4 4 4 1 5 2 4 2 4 5 6 3 4 4 2 3
## [33553] 5 3 3 4 2 6 5 2 4 3 2 3 3 3 5 6 6 2 4 3 6 3 3 4 5 6 6 2 5 4 4 2 6 4 3 4
## [33589] 5 6 5 2 5 4 4 5 2 6 3 3 2 3 2 4 4 6 2 4 2 4 3 5 4 6 2 4 4 2 2 5 5 6 3 4
## [33625] 4 5 5 4 1 3 5 5 4 4 5 2 4 6 3 5 3 4 5 4 5 3 3 6 3 2 5 6 4 4 4 1 6 5 1 5
## [33661] 4 4 2 2 2 3 5 3 4 2 3 4 3 4 2 4 5 4 5 2 2 6 4 3 2 5 6 5 4 6 6 1 2 4 4 4
## [33697] 5 3 4 2 3 2 3 4 2 5 2 3 3 4 3 2 4 4 4 2 3 4 4 1 6 3 6 5 4 4 4 4 5 6 3 4
## [33733] 1 6 3 4 4 5 3 3 3 5 2 5 3 2 5 4 4 4 3 3 2 3 2 3 1 2 4 4 2 4 3 3 2 5 5 4
## [33769] 5 1 4 4 2 5 5 3 5 5 6 5 1 1 2 2 6 3 4 2 4 2 4 2 5 4 3 4 2 2 1 4 2 5 5 4
## [33805] 4 5 4 2 6 5 4 2 2 3 4 3 4 3 4 1 3 6 6 6 2 4 5 6 3 5 1 3 4 4 4 2 6 3 4 4
## [33841] 3 5 5 4 3 6 2 2 3 6 6 6 6 4 1 3 4 3 4 2 2 4 6 4 6 3 5 2 4 5 5 3 4 4 4 4
## [33877] 5 5 6 6 2 4 4 3 4 6 4 5 3 6 6 5 5 4 5 6 5 6 6 6 6 6 4 6 1 1 4 4 4 4 4 4
## [33913] 2 5 4 6 5 6 4 4 2 4 3 4 2 5 3 2 5 4 5 4 3 5 6 2 3 6 2 2 4 5 4 2 6 4 2 5
## [33949] 5 4 6 5 6 4 3 4 6 4 5 5 6 4 5 2 1 3 4 5 3 3 5 3 2 2 4 4 5 4 4 5 5 4 6 1
## [33985] 4 4 6 5 5 3 3 1 5 2 5 1 4 4 5 5 2 4 2 2 4 3 6 3 4 3 4 3 3 1 4 6 3 4 6 4
## [34021] 3 2 6 5 4 5 6 6 3 2 3 3 4 4 4 4 6 2 4 4 4 4 5 4 2 5 4 5 6 3 6 3 4 5 2 5
## [34057] 3 1 4 4 4 5 4 4 3 5 2 3 4 4 2 6 2 4 4 1 4 5 4 3 3 3 3 3 3 2 5 4 4 6 5 4
## [34093] 5 2 3 5 4 4 4 6 2 5 4 4 4 5 2 4 4 6 6 4 1 3 4 3 5 4 6 3 6 4 3 3 6 2 4 3
## [34129] 4 2 1 4 3 4 4 5 4 2 4 5 3 5 5 6 4 3 2 3 4 6 2 2 5 3 5 5 3 6 1 6 4 5 5 3
## [34165] 5 6 5 5 4 4 4 5 2 3 2 3 6 6 5 3 5 5 4 4 2 4 2 5 4 4 6 2 3 4 3 2 5 6 3 2
## [34201] 1 3 4 5 4 5 5 2 6 5 3 5 4 2 1 6 4 5 5 2 4 5 4 1 3 4 4 5 4 1 6 4 6 3 3 4
## [34237] 3 5 3 4 3 5 4 2 4 3 2 2 3 4 5 4 6 5 4 6 6 5 2 2 6 5 3 6 3 6 5 2 2 5 3 6
## [34273] 5 4 5 5 3 3 4 4 4 5 6 2 3 2 1 5 6 5 4 4 5 6 4 6 4 3 5 6 2 4 1 2 4 3 4 2
## [34309] 5 6 3 4 6 4 3 5 2 4 6 4 3 4 3 4 4 6 3 4 6 6 6 2 3 3 3 4 3 5 5 1 5 4 2 2
## [34345] 3 4 5 4 4 5 6 4 5 3 2 4 3 2 2 3 6 1 5 6 5 4 3 2 6 4 4 6 2 4 3 4 4 6 6 2
## [34381] 3 5 2 2 4 3 3 4 5 3 2 6 3 5 6 6 5 2 6 6 6 6 2 3 6 2 3 4 6 5 4 3 4 5 6 2
## [34417] 4 2 4 5 2 4 3 3 3 4 4 5 4 4 4 4 4 6 3 6 6 5 2 6 2 4 5 2 4 4 6 4 6 4 4 5
## [34453] 3 4 5 4 2 2 4 4 4 3 5 3 6 4 3 3 5 4 4 3 2 6 2 5 3 6 4 2 5 5 5 4 4 2 2 4
## [34489] 5 5 4 4 2 6 4 4 5 3 6 4 3 3 2 6 5 5 2 4 5 5 5 4 2 4 3 3 4 3 3 4 4 6 2 3
## [34525] 6 4 2 6 6 3 4 6 4 5 2 4 2 3 4 2 2 3 6 3 2 5 5 4 5 2 4 2 2 6 4 3 6 2 4 4
## [34561] 3 4 3 4 4 5 2 4 3 6 3 6 4 2 4 2 6 4 5 3 4 4 5 5 3 3 3 3 4 4 5 3 4 2 3 5
## [34597] 2 4 3 4 4 4 4 4 5 2 4 5 5 1 6 3 4 4 4 4 4 5 4 4 5 5 6 2 4 6 2 5 3 4 5 5
## [34633] 6 4 3 4 5 3 6 5 4 6 5 1 4 3 6 4 5 3 3 2 4 4 5 4 4 4 5 1 2 6 4 3 1 5 4 2
## [34669] 4 4 6 3 4 4 3 2 5 3 4 4 5 6 3 6 3 3 3 4 4 3 4 4 5 2 5 3 6 3 6 3 4 4 5 5
## [34705] 6 6 1 6 3 4 3 2 5 2 2 1 2 6 5 4 5 4 4 3 6 5 2 4 3 4 4 4 3 2 2 4 6 6 3 6
## [34741] 3 4 3 4 3 4 2 6 2 3 4 4 2 5 4 2 2 4 4 2 5 5 2 3 4 2 4 3 5 2 2 2 2 1 5 2
## [34777] 4 6 3 5 2 6 5 2 4 4 4 4 3 3 4 5 2 3 5 6 2 2 6 2 2 6 5 6 2 1 3 4 4 5 3 4
## [34813] 5 3 5 4 5 6 6 4 5 3 5 2 6 6 5 3 2 4 4 4 5 3 3 2 3 4 4 4 4 4 5 4 2 3 5 3
## [34849] 5 2 6 6 6 6 5 5 4 5 6 3 4 4 5 5 6 4 1 3 4 3 4 4 2 2 3 3 2 3 2 2 6 3 4 4
## [34885] 4 4 4 1 6 4 3 2 3 3 5 4 4 5 5 3 4 3 2 5 5 2 5 4 4 4 3 5 4 2 2 2 3 3 3 2
## [34921] 4 3 5 2 3 3 5 4 4 4 2 4 4 2 4 4 5 2 2 5 4 3 3 5 4 4 4 3 2 2 2 3 6 4 4 3
## [34957] 5 4 3 4 3 1 5 2 3 1 5 4 4 4 5 5 4 4 6 4 5 4 1 2 4 5 3 4 3 4 5 4 3 2 3 5
## [34993] 3 5 3 5 3 5 3 4 5 5 5 5 4 4 3 6 2 2 3 4 1 6 6 5 6 2 3 3 6 5 5 3 4 4 4 2
## [35029] 4 4 6 3 2 3 4 4 4 3 5 3 4 4 5 6 2 2 6 3 2 2 3 2 3 5 3 3 4 3 4 5 3 6 4 5
## [35065] 4 2 6 5 3 6 2 3 4 3 4 4 5 1 6 5 4 1 6 3 2 4 2 5 4 4 4 3 4 3 2 4 4 5 6 3
## [35101] 5 4 3 4 2 2 3 4 3 3 2 4 4 1 4 3 5 2 6 4 4 3 4 3 3 4 5 4 4 3 6 3 4 6 3 5
## [35137] 6 6 4 6 5 6 6 3 1 4 2 4 4 4 4 3 3 3 1 2 4 2 6 4 3 5 6 1 4 4 4 4 6 5 3 4
## [35173] 3 5 3 2 2 4 4 1 4 2 4 3 2 5 4 5 5 5 4 5 5 2 6 5 2 6 2 3 3 4 4 6 3 4 5 6
## [35209] 5 5 6 2 6 4 2 2 4 4 4 3 4 4 4 4 4 5 4 5 2 4 3 3 1 4 3 4 5 4 4 2 4 5 2 6
## [35245] 2 2 5 1 4 6 3 4 5 5 4 2 3 1 5 3 4 5 3 6 4 5 6 4 6 4 3 3 5 5 5 6 6 4 4 4
## [35281] 2 3 4 4 4 2 3 4 5 5 2 5 4 6 4 4 5 4 5 3 3 4 5 5 2 5 3 5 3 1 4 4 4 5 4 6
## [35317] 5 3 4 5 6 4 5 4 4 2 5 3 3 3 4 3 5 4 3 6 4 1 4 3 3 4 5 4 2 2 3 5 4 1 2 6
## [35353] 2 3 6 2 2 5 4 6 6 5 3 3 5 6 3 1 4 5 2 2 3 3 3 2 4 2 4 4 4 6 2 4 5 4 4 4
## [35389] 2 4 4 1 4 5 2 5 1 3 6 5 2 2 4 3 6 5 4 1 4 5 5 6 6 3 6 6 3 3 6 2 3 6 4 5
## [35425] 3 4 6 3 4 3 4 2 5 3 4 2 4 4 4 4 4 4 5 3 4 4 4 4 2 3 5 4 4 4 4 2 3 4 5 4
## [35461] 2 5 6 2 4 3 5 3 4 4 4 6 4 2 5 5 5 4 4 3 6 3 4 5 6 3 6 4 4 2 2 6 2 4 3 4
## [35497] 4 6 3 5 6 5 3 1 4 3 4 3 4 4 2 5 5 3 3 4 5 4 4 5 5 6 4 5 3 4 3 3 6 4 4 6
## [35533] 4 5 4 4 4 2 4 5 4 5 3 6 4 5 3 3 5 3 4 5 6 6 4 3 1 4 3 3 4 3 4 3 4 4 5 2
## [35569] 3 3 3 5 4 1 5 4 5 4 4 2 1 4 4 6 2 2 4 3 6 2 5 5 2 2 5 3 4 2 4 2 4 5 5 4
## [35605] 2 4 2 4 4 4 5 6 2 2 5 5 3 3 4 5 3 5 4 4 2 4 6 3 5 4 5 2 4 2 2 4 4 2 6 5
## [35641] 4 3 3 5 2 3 3 4 3 3 2 2 1 4 5 6 6 3 3 2 3 4 1 3 4 3 4 3 6 5 6 4 4 5 4 4
## [35677] 3 2 3 6 4 5 4 6 3 6 6 4 4 6 6 6 4 5 3 4 4 5 4 3 5 4 2 4 2 4 4 4 4 3 3 5
## [35713] 3 4 6 2 4 4 5 4 4 5 6 2 4 4 3 5 3 5 4 6 4 2 4 2 5 4 5 3 4 4 1 4 5 5 4 2
## [35749] 5 4 4 6 4 2 6 6 2 2 5 3 3 2 5 4 4 5 3 6 4 4 4 5 6 3 4 2 4 3 3 4 2 3 5 2
## [35785] 5 6 4 3 1 6 1 5 1 6 2 3 4 2 3 1 4 5 2 4 5 5 2 5 4 3 3 4 2 4 4 2 3 6 6 4
## [35821] 2 2 3 6 2 5 5 6 4 4 4 5 6 6 3 4 6 4 5 4 2 1 4 2 5 1 6 4 2 3 4 5 2 2 3 3
## [35857] 6 4 5 4 1 2 4 6 3 3 4 2 1 4 5 2 2 4 4 4 2 5 3 3 5 1 6 1 6 1 5 3 4 4 6 2
## [35893] 4 5 3 5 3 4 1 3 3 6 3 3 2 6 3 5 3 6 4 2 2 4 4 4 3 4 4 2 5 2 1 2 4 4 2 2
## [35929] 5 2 4 3 4 3 2 5 6 3 4 3 5 1 5 4 5 4 4 4 4 2 4 1 2 1 1 6 4 5 6 3 6 2 6 2
## [35965] 6 5 4 4 3 4 5 4 4 6 3 4 5 3 4 1 6 3 3 3 3 4 2 4 3 4 4 4 2 3 4 6 6 6 2 4
## [36001] 4 4 4 3 4 3 5 1 4 3 5 4 4 2 4 4 2 5 4 6 6 6 2 5 2 5 5 5 6 6 4 2 5 3 3 6
## [36037] 5 4 1 2 2 3 4 5 4 4 3 2 6 3 4 3 5 1 6 2 2 6 6 1 3 4 4 3 6 5 6 4 6 3 4 4
## [36073] 3 4 6 6 4 2 3 3 4 4 4 5 4 6 2 2 5 3 6 2 4 1 3 2 5 1 4 6 1 6 3 4 3 4 5 5
## [36109] 5 3 4 4 4 5 6 4 4 2 2 5 4 4 3 3 6 3 4 3 3 3 2 4 4 4 4 3 6 2 6 2 3 4 3 3
## [36145] 2 4 3 2 4 3 2 2 3 3 1 5 6 2 2 6 3 5 6 4 5 3 6 6 5 2 4 6 4 4 4 2 6 4 5 5
## [36181] 5 5 4 5 4 3 3 4 1 4 4 4 2 3 4 3 1 5 3 2 5 5 4 4 1 4 5 4 4 1 3 5 3 3 1 4
## [36217] 4 4 6 6 6 3 5 6 2 5 3 4 4 6 4 2 6 4 3 4 6 4 4 4 6 5 6 6 6 4 6 5 4 4 4 2
## [36253] 4 5 5 4 2 4 4 4 4 3 3 2 6 6 3 6 4 3 2 4 6 4 4 4 4 4 4 4 4 4 5 4 6 4 5 3
## [36289] 3 4 3 4 5 2 2 4 2 4 4 6 5 4 4 3 6 3 4 6 5 3 4 3 4 4 6 3 3 1 3 2 2 3 4 4
## [36325] 4 4 3 4 4 2 6 4 5 4 5 3 5 4 4 3 1 6 3 6 4 6 4 5 2 6 5 2 6 6 4 3 3 3 3 2
## [36361] 6 2 3 5 2 5 4 4 2 4 2 6 3 6 3 4 6 6 5 5 5 5 3 4 1 4 6 5 6 5 3 4 6 3 4 4
## [36397] 4 3 5 2 4 3 4 3 5 2 5 4 2 5 1 4 3 2 4 4 2 4 6 3 4 2 6 5 5 3 4 4 3 6 2 4
## [36433] 6 2 3 4 4 4 3 1 4 3 5 5 5 6 2 1 4 2 2 4 2 5 5 2 6 5 2 4 3 6 3 6 2 2 5 6
## [36469] 2 3 5 3 6 6 1 4 4 4 6 1 3 3 3 2 3 2 4 5 4 4 2 4 3 4 4 3 4 1 4 2 4 3 2 2
## [36505] 5 3 4 4 4 4 5 6 4 6 2 6 4 6 5 2 2 5 2 5 4 6 4 3 4 2 4 6 4 4 3 4 5 2 2 4
## [36541] 6 6 6 6 6 4 4 6 3 5 5 1 6 4 6 5 1 6 6 4 3 5 4 4 4 2 4 4 4 1 4 2 5 4 3 6
## [36577] 4 5 4 5 5 4 4 6 4 4 3 3 1 3 2 3 3 4 4 6 4 4 1 4 2 4 4 4 4 5 1 2 4 2 3 6
## [36613] 3 6 4 6 2 4 5 4 5 4 2 3 4 6 4 5 1 3 4 5 5 3 4 5 2 2 4 4 4 3 4 2 2 6 5 4
## [36649] 4 6 5 3 6 2 6 4 4 3 2 4 2 4 1 1 2 4 2 5 6 3 5 2 6 2 5 4 2 4 4 3 2 6 3 3
## [36685] 6 5 3 4 4 3 4 1 2 3 3 5 4 6 6 5 2 6 4 3 2 6 4 6 3 3 2 4 4 5 4 6 2 4 2 2
## [36721] 6 2 4 4 4 5 3 6 2 6 3 1 5 3 3 5 4 2 2 5 3 4 2 3 6 6 4 2 5 5 3 4 1 1 4 2
## [36757] 3 4 1 5 3 5 1 2 5 3 1 4 1 2 4 4 6 6 3 2 2 4 5 1 6 6 5 1 5 4 4 1 2 5 3 4
## [36793] 2 2 4 2 4 6 3 5 6 6 3 6 3 2 4 2 4 4 6 4 6 4 4 5 2 3 4 3 4 3 2 4 3 2 3 1
## [36829] 5 2 4 4 4 5 4 1 5 3 5 6 2 4 1 5 4 5 3 2 5 4 5 1 3 3 5 1 4 5 4 4 4 4 6 6
## [36865] 4 5 6 4 4 5 5 1 4 3 6 4 2 4 6 3 6 3 5 4 6 4 4 6 4 1 3 5 1 2 6 6 3 1 5 5
## [36901] 3 4 2 4 4 6 3 4 5 3 4 3 1 4 5 4 3 5 4 3 4 5 4 4 2 4 3 4 3 4 3 5 4 4 3 4
## [36937] 2 5 5 6 5 5 4 6 3 4 5 2 3 3 5 1 4 5 4 2 1 4 4 4 4 6 3 4 3 4 1 3 3 4 5 3
## [36973] 2 5 2 4 4 4 2 5 4 4 3 2 5 5 4 4 5 6 3 6 1 5 3 3 6 3 4 2 3 2 3 4 3 3 3 5
## [37009] 3 3 5 3 5 4 4 2 6 4 3 4 3 5 2 3 6 4 1 6 6 5 2 5 5 4 2 4 4 5 1 3 5 1 5 2
## [37045] 3 5 2 3 3 6 4 2 2 5 6 4 6 5 5 2 4 3 4 3 3 4 5 2 5 4 4 3 2 3 4 6 3 5 1 4
## [37081] 5 1 4 2 4 2 3 2 3 2 3 2 4 5 5 3 4 6 3 6 3 4 4 1 4 6 4 6 4 2 3 4 4 5 2 6
## [37117] 3 5 6 3 2 4 3 2 3 2 2 6 4 1 2 6 4 5 3 4 5 2 2 3 6 3 4 3 5 4 3 5 4 2 2 3
## [37153] 1 5 5 6 5 6 5 5 5 2 6 2 4 6 5 4 2 6 4 2 4 3 5 4 4 4 1 4 4 2 3 4 6 3 4 3
## [37189] 3 4 6 1 1 3 1 6 4 1 3 4 2 2 4 5 3 5 3 6 4 4 1 4 3 4 3 3 5 4 2 3 2 2 3 3
## [37225] 3 2 2 3 5 4 6 4 1 4 5 6 5 5 1 4 5 2 2 5 3 4 6 4 2 4 4 4 4 4 6 6 2 5 2 5
## [37261] 2 4 2 5 4 4 4 2 2 5 3 4 6 3 4 4 4 5 6 6 4 6 5 2 5 2 3 4 2 4 5 5 6 4 2 5
## [37297] 4 6 3 4 4 6 5 2 3 4 2 3 2 3 4 4 5 3 4 5 4 4 4 6 2 2 2 2 1 5 3 5 4 3 4 2
## [37333] 5 6 2 4 3 4 6 4 3 5 6 1 5 4 4 5 5 4 5 4 6 2 5 6 2 4 3 4 1 3 4 4 4 3 4 4
## [37369] 3 3 3 5 4 2 6 1 5 4 5 4 5 3 2 6 4 4 2 5 4 4 2 4 6 4 2 3 6 3 3 5 2 2 5 1
## [37405] 4 2 6 5 5 2 4 5 3 3 6 6 5 5 6 6 5 5 4 4 1 3 5 4 2 5 5 4 4 3 3 2 5 4 2 3
## [37441] 4 4 4 5 3 4 4 5 2 4 4 3 4 6 1 2 4 5 4 4 4 4 3 2 4 5 4 4 4 2 6 2 5 6 2 2
## [37477] 4 6 2 2 3 5 3 4 6 5 2 5 2 2 4 4 4 5 6 4 2 2 5 6 4 2 4 4 1 3 6 4 6 4 3 4
## [37513] 6 6 1 1 5 4 5 2 4 3 5 5 6 3 2 3 5 6 1 6 6 4 3 4 2 4 2 2 2 4 6 4 5 4 5 3
## [37549] 4 3 5 4 4 2 4 4 6 4 4 4 6 2 5 3 4 4 3 3 3 6 2 1 4 5 6 2 4 4 3 3 3 2 3 5
## [37585] 4 5 6 5 6 2 3 1 3 4 5 4 4 2 2 6 6 1 2 5 4 5 4 3 3 1 2 4 3 6 2 2 4 2 4 3
## [37621] 3 3 4 2 2 5 3 4 5 3 3 4 6 6 5 5 3 2 4 4 2 4 3 4 4 6 4 6 1 4 6 5 2 4 4 3
## [37657] 4 6 5 4 5 4 4 4 2 5 2 4 1 4 5 3 4 6 4 4 4 6 2 2 3 3 4 6 5 3 2 3 5 3 6 5
## [37693] 6 3 1 1 5 2 5 4 2 3 2 4 5 5 3 3 2 5 4 4 4 2 2 4 2 2 2 4 6 4 5 2 2 6 4 2
## [37729] 4 4 3 3 6 5 4 3 1 3 4 2 2 4 3 6 3 4 1 2 2 4 2 5 1 5 3 4 3 5 4 3 4 5 5 6
## [37765] 5 4 2 4 2 5 4 6 6 3 4 4 4 5 5 4 4 1 2 6 3 4 6 3 4 3 4 5 4 5 4 4 4 4 5 2
## [37801] 5 4 2 3 4 5 5 2 2 3 4 4 2 5 3 4 2 6 3 4 5 3 4 5 5 6 4 5 3 1 6 4 6 4 4 6
## [37837] 4 5 2 3 4 2 4 3 5 4 4 1 5 4 4 3 2 4 5 4 3 4 2 5 5 4 3 5 4 2 4 1 4 2 4 5
## [37873] 4 6 2 4 2 5 4 3 4 3 2 2 3 4 6 3 3 4 6 2 5 3 1 5 6 2 4 5 4 5 4 4 5 3 1 4
## [37909] 5 4 4 5 4 5 3 6 4 4 4 4 5 5 2 5 4 2 4 2 3 4 5 2 4 6 3 4 4 3 4 2 2 4 5 5
## [37945] 3 6 4 3 5 3 6 1 3 2 4 5 4 1 4 4 4 2 2 2 2 3 4 5 2 4 4 2 6 3 3 4 4 6 5 6
## [37981] 3 5 4 4 3 5 4 2 2 2 4 4 3 3 5 2 4 1 1 3 5 4 3 4 3 5 6 4 4 5 5 1 4 4 5 5
## [38017] 3 2 4 5 3 4 6 3 3 3 6 4 2 5 4 4 4 5 4 6 3 2 4 2 5 2 5 4 5 4 3 5 4 4 2 5
## [38053] 5 4 2 4 4 4 5 2 3 3 4 4 4 5 2 2 6 5 6 6 3 4 1 5 4 3 3 6 6 4 6 3 5 2 4 3
## [38089] 4 6 2 3 4 2 2 5 1 4 2 5 2 4 3 4 6 4 5 4 2 4 4 5 2 3 2 2 3 4 2 5 5 2 3 4
## [38125] 4 2 1 4 4 2 3 5 2 3 3 6 2 2 4 5 4 2 3 5 4 3 2 1 2 1 3 5 4 3 4 6 6 5 4 4
## [38161] 3 3 5 5 6 3 3 3 6 3 3 4 3 4 3 5 4 4 2 2 1 4 6 5 4 5 6 6 5 6 4 2 3 6 5 2
## [38197] 4 4 4 3 1 3 3 5 4 4 3 4 6 2 3 5 4 3 4 4 3 6 2 4 3 3 3 4 4 4 6 6 1 5 6 6
## [38233] 4 2 5 5 4 4 5 4 4 4 4 4 6 4 6 2 2 4 6 4 4 2 5 2 5 6 5 4 3 6 3 5 2 3 3 2
## [38269] 3 4 5 2 6 5 3 6 5 4 6 6 4 5 1 6 6 5 3 2 3 2 6 4 5 6 4 3 4 4 2 3 4 2 1 3
## [38305] 5 3 3 4 4 2 4 4 4 4 5 4 4 5 5 3 5 5 4 2 2 4 3 3 6 4 4 5 4 5 6 4 3 5 3 5
## [38341] 4 2 3 4 3 6 6 4 5 4 5 4 6 4 2 6 2 4 5 1 6 1 1 4 4 2 2 4 4 4 4 4 3 5 4 2
## [38377] 4 6 5 3 3 5 6 2 3 6 3 4 1 3 6 4 4 6 3 4 4 4 4 2 4 3 2 4 2 4 3 5 5 3 2 5
## [38413] 4 5 4 3 2 4 3 3 5 6 3 3 4 1 3 3 4 4 6 5 1 5 4 6 6 5 2 5 1 6 3 1 5 1 4 3
## [38449] 6 6 5 6 1 6 4 3 6 4 4 6 4 1 1 2 3 5 2 5 6 5 5 3 2 4 4 4 6 3 2 6 3 4 6 3
## [38485] 4 4 2 2 4 4 3 6 5 1 6 6 5 6 6 5 5 2 2 1 2 4 4 3 5 6 4 2 2 3 4 3 4 4 4 4
## [38521] 4 1 6 6 4 3 4 5 4 6 2 1 4 4 4 2 4 4 4 4 2 4 6 2 5 5 5 6 5 1 6 3 5 2 2 6
## [38557] 6 6 6 5 4 2 3 5 3 5 3 5 2 3 3 5 4 3 1 2 2 4 6 5 4 4 2 3 3 5 4 4 2 4 3 4
## [38593] 4 5 5 6 3 2 3 3 5 3 1 3 5 5 3 6 4 5 2 6 6 2 4 4 5 3 3 5 5 4 4 4 4 5 6 2
## [38629] 6 4 6 5 4 6 6 5 4 5 3 4 3 6 4 6 2 6 4 3 5 4 5 4 5 5 5 6 3 5 4 5 5 4 4 5
## [38665] 4 5 3 3 2 3 5 5 3 2 3 3 4 2 2 3 2 5 5 4 4 2 5 4 2 3 5 4 3 5 5 4 6 4 4 2
## [38701] 6 2 6 5 4 6 1 2 2 2 4 4 5 5 2 4 3 5 5 2 4 3 5 5 3 3 1 3 1 4 4 2 4 4 2 4
## [38737] 5 1 3 3 4 5 4 3 6 6 5 6 3 3 6 3 5 4 4 4 5 2 6 3 4 3 3 3 1 4 4 3 6 3 4 1
## [38773] 5 6 3 6 5 5 4 3 3 4 1 5 2 5 3 4 4 5 1 4 4 3 1 3 5 4 4 5 4 6 3 4 2 4 2 1
## [38809] 3 4 6 4 3 4 5 4 4 3 4 3 3 6 6 4 6 6 4 4 5 5 3 4 4 1 2 4 2 4 4 4 1 2 4 2
## [38845] 3 4 4 4 4 4 4 2 5 1 5 3 4 3 3 5 3 6 2 4 4 2 5 4 4 1 6 5 2 6 6 2 4 2 5 6
## [38881] 3 3 3 4 1 6 6 5 2 4 2 5 4 2 4 4 6 4 2 2 4 6 3 6 4 4 4 6 2 1 4 3 4 6 3 2
## [38917] 4 1 3 4 4 6 3 4 4 3 4 4 5 4 4 4 2 5 3 4 3 6 5 5 3 5 3 5 6 2 1 2 5 6 3 2
## [38953] 5 2 5 6 3 2 4 2 3 4 2 4 6 2 4 3 6 4 5 2 3 4 1 4 6 3 2 4 4 5 4 2 2 4 2 6
## [38989] 4 5 4 4 4 4 3 6 4 4 6 3 4 1 5 4 2 6 6 5 5 5 5 6 3 6 4 1 5 1 5 3 3 5 4 3
## [39025] 6 1 6 6 3 5 3 3 4 4 1 4 4 4 5 2 4 6 5 6 6 4 5 4 3 4 3 2 5 2 4 4 3 3 6 3
## [39061] 3 3 1 6 3 4 5 3 2 2 4 4 3 3 3 4 5 4 2 5 2 2 5 4 4 6 2 4 4 5 3 4 5 5 5 4
## [39097] 2 1 3 5 6 4 6 4 4 3 4 2 2 2 5 4 1 2 4 4 6 4 4 3 3 5 5 4 6 4 1 3 6 2 4 4
## [39133] 5 4 2 4 4 3 1 4 5 2 5 6 4 4 3 5 4 3 4 4 4 3 5 1 6 6 4 6 2 3 5 1 5 3 3 4
## [39169] 3 3 4 3 3 5 6 4 3 4 3 3 5 6 3 6 5 4 6 5 4 4 1 4 2 2 5 2 4 4 6 3 3 2 3 3
## [39205] 2 2 5 6 3 6 5 6 3 4 4 2 5 2 6 5 4 6 4 4 4 2 5 6 5 6 4 4 3 3 5 3 6 3 4 2
## [39241] 4 5 4 1 2 4 3 5 2 4 5 4 4 5 6 6 5 4 4 1 6 5 5 3 6 2 1 6 2 6 2 4 6 2 5 2
## [39277] 4 4 4 4 4 4 4 6 1 4 5 4 1 6 4 4 2 2 6 4 4 3 6 2 4 4 5 6 4 3 1 6 3 4 3 2
## [39313] 2 4 4 5 5 5 3 4 6 2 2 6 4 3 4 5 2 3 6 4 5 2 4 5 4 1 3 4 3 3 3 4 3 2 5 6
## [39349] 4 5 5 4 6 4 3 4 4 5 2 5 3 4 5 3 4 4 6 5 4 4 1 5 4 1 6 4 3 5 3 3 4 4 3 4
## [39385] 4 3 3 6 3 5 4 3 5 4 5 2 6 1 1 4 5 6 1 4 4 1 3 4 6 2 6 2 6 2 5 5 3 6 1 6
## [39421] 3 5 3 2 3 4 3 4 1 4 4 3 6 5 5 3 5 3 4 4 5 4 3 2 2 4 2 4 3 2 6 4 6 3 5 4
## [39457] 4 5 6 4 6 2 6 4 3 6 4 5 4 3 3 1 4 2 6 4 3 3 4 5 2 5 6 4 5 4 4 4 2 1 4 3
## [39493] 4 5 4 4 3 5 4 4 4 6 4 4 3 5 6 4 4 1 1 3 5 6 4 3 5 3 4 5 3 5 4 3 6 6 4 4
## [39529] 6 4 5 3 4 4 6 3 6 4 5 6 6 5 6 4 4 4 5 4 5 6 3 3 6 4 3 4 3 1 4 5 2 2 2 4
## [39565] 2 4 4 5 4 3 2 5 6 5 4 3 6 4 6 6 4 5 4 6 4 2 2 3 3 2 4 6 4 6 2 6 4 4 2 5
## [39601] 3 6 4 5 1 3 3 6 2 4 4 2 1 2 6 4 2 4 6 6 3 4 5 4 5 2 5 4 6 6 3 5 4 2 4 5
## [39637] 1 3 5 3 6 4 6 3 6 5 1 2 4 6 3 3 5 3 2 3 2 3 5 1 5 5 3 5 4 2 1 5 4 3 4 3
## [39673] 4 4 3 6 6 1 4 3 2 3 4 6 6 4 3 4 3 2 5 4 2 2 4 3 4 3 3 4 3 6 6 1 3 3 4 5
## [39709] 6 3 6 3 4 4 4 4 2 6 3 2 2 1 4 5 5 4 5 5 4 4 3 6 4 4 4 4 3 5 5 3 6 6 2 2
## [39745] 4 4 6 3 4 5 5 5 5 3 3 5 3 4 2 4 4 6 5 3 4 4 2 2 6 5 4 2 4 4 6 6 4 6 6 1
## [39781] 6 5 5 4 4 4 3 4 3 6 5 2 5 3 4 3 5 4 6 6 4 6 5 4 5 2 3 4 3 3 4 5 6 5 4 6
## [39817] 4 5 5 4 4 6 4 4 5 3 4 6 6 6 5 6 6 5 3 3 4 3 5 4 6 2 4 4 4 2 3 4 6 5 4 5
## [39853] 4 3 3 2 3 3 5 6 2 4 2 6 4 4 2 6 2 6 4 2 4 4 2 3 4 5 6 3 5 2 2 1 6 3 4 4
## [39889] 3 3 6 2 5 6 5 5 5 3 5 2 4 4 3 3 5 4 4 1 4 4 4 5 5 4 1 2 3 4 4 5 2 3 5 3
## [39925] 4 1 3 2 6 4 1 4 4 2 4 3 4 3 6 1 2 4 4 5 1 3 2 3 4 2 5 5 4 3 3 6 3 5 6 3
## [39961] 3 4 6 4 2 3 1 4 4 5 4 5 6 3 6 4 2 3 3 5 5 5 4 3 4 2 2 5 2 5 3 4 3 5 4 4
## [39997] 6 3 2 4 4 4 4 5 3 2 6 5 3 4 2 3 2 4 4 2 4 1 3 3 4 4 3 6 6 3 2 2 1 3 2 5
## [40033] 5 4 2 4 6 3 5 6 4 4 5 2 4 6 3 6 5 6 5 3 5 6 2 2 5 2 5 6 4 4 5 5 3 4 4 2
## [40069] 3 3 5 2 5 4 4 3 4 3 3 2 5 5 3 5 4 4 5 3 4 4 5 4 3 6 3 4 3 3 5 4 6 5 5 6
## [40105] 5 3 6 2 2 4 4 3 4 4 4 5 4 5 3 1 5 6 2 6 6 5 5 2 6 6 2 6 3 4 4 3 4 5 4 4
## [40141] 2 4 5 2 4 1 3 4 1 3 6 4 4 4 4 2 3 6 4 3 2 4 5 4 6 4 4 5 2 3 5 6 4 1 4 3
## [40177] 4 4 5 6 6 4 5 4 3 3 5 4 4 3 2 4 4 3 2 5 3 1 5 4 4 6 6 4 2 5 4 2 3 5 2 4
## [40213] 4 6 5 2 3 6 6 3 4 5 4 5 5 4 3 4 4 4 3 4 4 3 4 1 3 5 4 5 2 4 4 4 4 6 3 4
## [40249] 4 3 1 4 5 5 1 4 3 1 4 2 5 2 2 4 5 1 2 4 4 6 6 1 5 4 2 4 2 3 1 2 4 5 4 4
## [40285] 4 4 5 6 6 5 6 2 5 4 5 4 4 2 6 5 2 4 5 2 6 3 5 2 5 3 1 4 5 6 3 2 6 4 4 4
## [40321] 5 3 5 3 4 4 5 2 5 6 2 3 4 2 5 3 2 2 4 2 2 4 3 6 4 3 3 4 4 3 2 6 5 3 2 3
## [40357] 3 6 2 3 3 3 6 4 2 6 4 4 6 3 4 5 5 5 6 2 5 6 2 4 3 5 2 5 2 2 3 3 4 5 4 4
## [40393] 4 5 3 2 4 6 2 4 4 4 2 5 4 3 2 4 5 3 4 4 2 6 4 5 3 3 4 4 5 5 4 5 4 5 4 5
## [40429] 4 4 3 3 4 4 2 2 6 3 2 4 3 5 2 3 3 6 4 5 6 1 2 4 5 5 5 3 5 3 2 4 2 2 1 4
## [40465] 5 3 4 3 6 5 2 4 6 4 4 4 3 4 4 6 5 3 3 3 5 2 5 1 4 4 4 4 4 3 4 4 5 3 2 3
## [40501] 4 3 4 6 4 3 5 5 4 6 4 5 4 6 1 4 4 3 1 3 1 3 4 5 5 1 2 6 3 2 4 1 4 6 6 2
## [40537] 4 3 2 4 3 4 4 6 4 6 6 5 4 1 3 2 4 1 1 3 4 2 5 5 6 5 6 4 5 4 5 2 2 3 4 3
## [40573] 5 4 2 4 6 4 4 6 5 4 3 4 2 4 4 3 6 1 2 4 3 5 2 5 5 1 3 4 2 3 1 3 4 3 6 4
## [40609] 2 5 3 3 5 4 6 4 2 2 3 5 5 5 3 6 4 6 6 1 4 4 3 5 4 1 3 5 4 6 6 1 3 3 4 6
## [40645] 4 1 4 1 5 5 1 1 6 3 6 2 4 3 3 2 4 5 3 4 5 5 3 4 4 3 4 2 5 2 2 6 3 4 4 4
## [40681] 6 4 5 2 2 2 4 3 4 2 5 4 4 5 5 3 3 5 5 4 3 4 4 5 4 2 2 4 2 5 5 4 6 3 4 4
## [40717] 6 4 4 4 6 5 1 6 2 5 4 5 6 4 4 1 3 5 5 6 6 5 3 4 4 4 2 3 6 5 4 4 4 1 4 2
## [40753] 4 4 2 2 6 2 3 6 3 4 2 5 6 3 2 2 3 3 6 6 1 6 5 6 3 3 2 5 3 3 4 6 4 4 1 4
## [40789] 4 4 3 5 4 3 4 4 4 2 3 4 2 5 5 5 1 4 5 3 4 4 5 5 3 4 4 3 2 5 2 3 4 4 4 3
## [40825] 5 4 5 6 4 5 2 5 1 1 4 5 4 3 2 5 3 3 5 5 6 3 4 4 4 2 4 3 6 2 2 5 2 2 5 2
## [40861] 3 3 3 2 4 2 2 4 3 3 4 5 2 3 2 4 2 4 5 5 4 2 5 6 3 5 6 4 5 6 3 4 6 3 2 4
## [40897] 2 4 2 3 5 3 5 4 3 3 6 4 5 4 2 2 3 3 3 2 4 2 3 4 6 5 3 2 4 4 5 2 5 5 6 5
## [40933] 4 3 2 4 6 4 4 5 3 4 3 6 3 3 4 6 5 4 4 3 5 4 5 3 6 6 3 5 3 6 4 6 4 3 5 5
## [40969] 5 6 2 5 1 3 3 3 3 5 4 2 2 5 1 4 4 6 5 4 3 4 2 5 1 6 4 6 5 3 3 1 3 5 4 2
## [41005] 3 5 4 4 3 4 4 5 2 3 2 6 5 6 4 3 1 3 4 1 6 3 4 4 2 4 3 3 6 3 2 4 6 2 5 4
## [41041] 2 4 3 4 5 2 5 6 4 4 3 6 4 4 2 2 2 3 1 6 6 4 6 2 4 6 3 5 5 3 3 5 6 6 4 6
## [41077] 5 4 4 1 1 4 4 4 3 5 2 2 2 4 5 1 2 4 4 1 3 5 6 3 4 4 4 5 6 5 5 3 5 3 3 2
## [41113] 3 3 2 1 1 3 4 3 4 6 5 6 4 2 4 5 5 4 4 2 6 4 2 4 2 5 5 6 3 3 2 4 2 4 3 4
## [41149] 5 1 4 3 3 4 2 5 5 6 6 5 5 5 3 5 2 5 2 1 1 3 4 5 4 2 1 4 3 3 4 6 2 6 4 2
## [41185] 3 4 6 3 1 4 4 3 1 5 3 3 2 5 3 4 2 2 6 2 2 4 5 5 3 3 5 6 5 5 5 4 3 1 2 4
## [41221] 4 3 4 4 4 2 6 5 2 3 4 4 3 3 3 5 4 3 6 6 2 3 4 1 5 6 4 3 5 6 3 3 6 5 5 6
## [41257] 6 4 3 3 5 4 5 3 5 4 3 6 4 5 1 1 3 4 5 5 3 5 4 4 2 4 3 6 3 4 2 5 3 2 6 5
## [41293] 3 3 5 2 1 5 6 1 5 5 4 3 4 4 6 2 1 3 2 1 3 3 3 4 2 3 4 4 5 4 3 5 6 5 2 1
## [41329] 3 6 6 6 6 3 4 3 6 6 4 4 4 5 4 4 4 3 4 5 3 6 2 5 3 3 5 2 4 4 4 4 4 5 4 5
## [41365] 5 3 3 5 4 2 3 1 3 5 2 4 4 1 4 6 5 4 3 4 5 4 4 4 4 5 4 4 4 2 4 4 2 2 4 6
## [41401] 3 4 6 3 5 4 1 4 2 4 4 3 3 3 6 4 6 6 4 4 2 2 4 3 4 3 3 1 2 3 2 3 5 6 1 3
## [41437] 5 2 4 5 4 5 4 6 6 4 4 3 4 4 4 4 4 6 3 2 5 4 1 2 5 6 3 4 4 4 6 5 6 2 5 3
## [41473] 5 6 2 2 3 2 6 1 5 6 6 4 6 2 6 6 4 6 4 6 4 6 1 5 3 2 5 5 1 5 3 5 4 6 2 2
## [41509] 5 2 5 6 4 4 3 5 4 5 3 4 5 3 1 4 5 3 4 5 2 1 4 4 4 4 4 2 3 3 4 5 4 4 2 1
## [41545] 1 5 4 4 4 2 4 3 4 6 2 6 5 4 5 2 4 3 2 6 3 5 4 3 2 5 3 5 4 6 5 5 6 5 4 4
## [41581] 4 4 4 4 2 5 2 4 5 3 3 5 1 6 5 6 3 3 5 3 1 4 5 6 6 3 2 2 4 4 5 4 1 2 6 3
## [41617] 4 6 4 4 4 4 2 3 4 4 6 4 2 6 2 3 2 4 2 5 4 6 4 5 2 6 2 3 1 2 3 4 4 4 6 2
## [41653] 4 3 4 4 6 2 5 6 4 6 4 3 3 6 3 3 5 5 4 5 4 4 2 5 4 6 4 2 5 6 4 4 2 4 4 6
## [41689] 4 2 1 6 3 4 2 4 4 1 6 5 3 5 5 5 5 4 3 6 4 1 4 2 4 3 6 4 1 6 2 3 4 5 4 3
## [41725] 3 4 4 4 6 6 6 3 6 4 2 5 4 4 6 4 4 1 3 6 3 4 3 2 3 1 6 4 2 4 2 4 3 4 4 2
## [41761] 4 2 4 1 4 3 4 4 6 5 2 1 4 2 5 4 6 5 6 3 4 4 4 3 5 4 3 3 6 6 4 4 2 5 5 4
## [41797] 3 3 2 4 5 6 3 5 2 6 4 5 4 4 2 5 5 3 5 1 4 4 3 2 3 4 4 3 5 2 4 2 5 2 4 3
## [41833] 5 4 6 3 4 3 2 3 3 4 3 5 6 2 5 2 6 3 3 3 3 5 5 4 4 4 3 5 5 5 4 3 1 6 4 4
## [41869] 6 6 3 6 2 4 4 4 5 4 3 5 3 4 4 4 2 3 5 4 3 4 4 3 3 6 4 3 2 4 3 3 2 5 4 4
## [41905] 2 2 4 5 6 3 2 3 6 6 5 4 3 6 6 6 3 4 4 5 5 3 4 4 4 5 4 3 5 6 6 3 3 3 3 2
## [41941] 5 2 2 4 4 1 4 3 3 4 5 3 6 4 4 3 3 4 5 2 4 4 1 3 5 6 3 2 4 5 5 4 4 3 4 4
## [41977] 4 6 2 3 4 6 4 4 4 1 4 3 4 4 6 2 4 4 3 3 6 6 5 4 2 4 4 2 3 4 4 4 6 4 4 2
## [42013] 5 4 1 3 3 3 4 4 2 4 2 4 3 4 2 2 6 3 4 3 4 4 3 4 5 3 2 2 4 3 4 4 6 4 5 4
## [42049] 4 4 2 6 1 4 4 4 3 4 2 3 3 4 1 4 4 4 4 5 5 4 3 3 4 5 2 5 6 3 4 3 4 6 3 3
## [42085] 6 5 4 3 3 4 6 6 6 6 6 2 6 4 6 3 6 6 4 6 2 4 1 3 1 3 2 3 3 6 3 3 4 4 4 5
## [42121] 3 5 3 2 4 5 3 4 3 4 2 5 5 6 5 2 6 6 2 3 5 4 4 2 3 3 5 6 6 4 1 2 5 4 2 4
## [42157] 5 1 4 2 4 4 4 1 2 2 5 3 5 3 4 6 4 3 4 5 3 4 6 5 5 3 4 5 5 4 4 5 5 5 6 4
## [42193] 4 3 5 5 2 2 6 2 5 6 3 4 4 4 4 4 4 5 3 4 5 3 2 5 5 5 2 6 4 6 4 4 4 3 6 4
## [42229] 4 4 4 3 2 4 4 4 5 3 5 6 3 5 4 4 2 3 6 5 5 4 3 3 5 2 1 2 2 4 3 2 4 6 3 6
## [42265] 5 6 5 3 4 2 3 3 4 4 3 5 6 2 4 4 3 3 6 4 5 6 3 5 5 3 4 3 4 6 4 3 2 2 3 4
## [42301] 5 4 5 6 4 4 2 4 4 6 4 2 3 5 5 3 3 4 4 6 5 2 4 4 4 5 5 4 4 4 2 4 1 2 3 3
## [42337] 1 5 5 6 4 4 4 4 4 6 2 4 4 4 4 4 5 4 4 3 3 5 6 4 5 6 5 5 4 2 4 4 4 3 4 3
## [42373] 5 2 1 4 4 4 6 3 2 2 4 4 4 4 4 4 3 4 5 3 4 3 5 4 4 1 6 2 1 6 5 4 4 3 5 4
## [42409] 4 5 5 5 2 3 2 4 6 4 4 4 5 5 5 3 1 6 4 2 2 1 5 6 3 4 5 4 4 3 6 1 4 5 3 5
## [42445] 4 4 6 3 4 4 4 2 2 3 2 4 3 6 3 1 2 5 6 3 2 2 4 1 3 5 6 4 6 2 5 3 4 5 2 5
## [42481] 4 6 3 5 2 2 4 5 5 2 4 5 6 3 2 2 6 4 3 4 6 4 5 4 4 5 3 5 1 3 2 4 4 3 4 4
## [42517] 2 4 6 3 6 2 3 1 3 6 6 1 5 4 5 2 5 5 4 1 5 5 3 3 6 4 3 1 4 5 4 6 5 4 4 4
## [42553] 2 5 3 2 4 4 6 6 4 4 4 6 3 4 2 4 5 3 6 5 5 4 5 5 5 3 6 6 3 3 3 4 4 4 4 6
## [42589] 4 3 4 4 6 4 4 4 6 6 3 2 4 3 6 5 3 6 4 1 2 2 3 4 4 4 2 4 4 3 2 2 4 2 5 4
## [42625] 4 4 5 6 3 5 6 2 2 4 2 4 3 5 6 6 2 4 3 3 4 4 6 2 3 4 1 4 2 4 3 4 1 6 3 4
## [42661] 6 3 5 2 3 1 6 5 6 2 4 1 5 3 4 5 1 2 6 3 3 4 2 4 3 4 4 6 5 6 4 2 5 3 3 4
## [42697] 3 3 2 6 3 4 5 3 3 1 6 5 2 5 3 3 2 6 4 4 3 2 3 2 4 5 5 4 4 4 6 5 4 4 3 2
## [42733] 4 3 3 3 6 4 4 2 4 4 3 2 5 1 4 4 4 6 2 5 3 4 3 2 4 4 6 4 6 3 2 5 3 4 5 2
## [42769] 4 4 2 5 4 6 3 4 6 4 2 3 4 3 5 4 5 5 6 6 4 1 5 4 2 4 2 4 4 5 5 4 2 5 2 2
## [42805] 6 5 1 2 1 4 3 3 2 5 5 6 6 3 4 3 1 6 2 4 4 3 4 4 4 3 4 4 2 4 4 3 3 4 6 4
## [42841] 4 2 4 3 4 5 2 5 2 2 3 4 6 3 6 1 6 4 4 2 4 3 4 3 5 4 2 3 3 4 2 4 4 4 2 2
## [42877] 4 3 6 4 2 5 4 4 4 4 4 5 4 3 3 6 2 6 4 5 2 3 2 4 2 3 3 5 3 2 4 4 6 2 4 3
## [42913] 3 6 4 3 6 5 6 5 4 4 4 4 2 1 3 4 2 4 5 2 3 4 3 4 5 3 6 5 6 3 2 2 6 4 5 3
## [42949] 1 2 3 2 2 3 3 2 4 4 4 6 3 3 6 4 1 5 5 1 1 6 5 6 6 2 3 2 3 4 4 2 1 2 3 5
## [42985] 3 4 4 4 6 2 3 4 4 4 1 4 2 2 5 5 5 4 2 3 4 4 4 3 6 5 5 3 5 4 4 2 3 4 3 2
## [43021] 4 2 2 6 3 6 2 4 5 4 1 5 4 2 5 2 3 3 3 4 3 3 3 4 4 4 2 1 4 2 3 2 3 6 5 1
## [43057] 3 3 2 5 1 4 5 4 1 5 3 6 6 2 4 4 6 5 1 4 4 3 6 4 4 4 4 1 4 3 5 3 5 6 2 3
## [43093] 4 3 3 5 5 2 4 4 4 2 4 2 6 4 2 4 3 5 5 6 6 2 1 3 6 3 2 6 5 6 5 2 3 6 4 5
## [43129] 3 6 4 4 3 4 3 3 5 3 6 4 4 4 3 5 2 3 4 2 5 4 4 3 6 4 3 4 4 3 3 4 4 5 6 5
## [43165] 4 3 4 6 5 6 4 2 5 5 4 3 1 5 4 2 3 2 2 3 3 4 4 5 3 5 6 4 2 3 4 5 5 4 5 3
## [43201] 5 4 4 4 4 2 6 1 2 3 2 6 2 3 3 4 5 6 5 2 4 5 3 6 4 5 6 4 4 4 5 5 5 3 6 3
## [43237] 3 3 4 4 6 2 4 4 4 6 4 4 2 4 3 4 4 3 6 4 3 6 6 6 5 2 3 5 4 4 5 2 2 4 5 3
## [43273] 3 6 5 2 2 3 3 4 3 3 4 2 5 4 2 4 2 3 4 4 4 3 5 2 4 5 2 5 4 6 6 4 6 2 4 4
## [43309] 3 3 3 2 4 4 4 2 4 3 2 4 3 1 3 4 6 2 2 4 4 5 5 5 2 2 4 6 4 6 3 3 6 4 2 2
## [43345] 4 4 3 4 6 6 3 5 3 5 5 4 4 4 3 6 4 4 3 4 1 4 6 1 2 3 3 4 4 6 4 5 3 3 5 4
## [43381] 4 6 5 3 2 4 4 4 6 4 3 4 4 4 2 4 6 3 5 6 1 6 3 4 2 2 3 2 4 6 5 2 6 3 4 2
## [43417] 4 5 4 5 4 3 3 5 2 4 4 5 4 6 5 6 6 1 3 4 1 4 2 4 4 4 4 3 5 5 5 4 3 5 3 4
## [43453] 2 4 6 3 1 6 4 3 4 3 2 4 2 3 4 6 3 3 5 3 4 5 6 4 6 5 3 2 5 5 4 1 4 5 4 1
## [43489] 6 5 4 5 3 3 4 4 6 6 5 4 2 5 2 4 4 3 5 4 6 5 5 4 5 4 4 4 2 1 2 3 6 4 3 6
## [43525] 5 3 1 6 5 2 4 5 2 5 4 3 6 3 3 4 1 4 2 4 4 5 4 6 4 5 4 3 4 4 3 5 5 5 2 6
## [43561] 2 4 5 6 3 4 3 4 5 6 4 5 2 4 2 3 3 5 6 5 1 4 4 5 2 4 2 5 3 4 3 6 3 3 3 6
## [43597] 3 6 3 2 1 4 5 4 5 4 3 5 3 6 4 1 3 5 4 4 4 6 6 1 6 2 6 4 2 3 4 4 4 4 4 6
## [43633] 6 4 4 2 2 4 5 2 5 3 5 5 3 4 6 3 4 4 6 3 2 4 3 5 6 4 2 4 5 4 4 2 4 4 6 3
## [43669] 4 4 5 6 5 3 6 4 3 4 1 5 2 4 2 6 4 3 6 4 5 3 2 2 2 3 2 4 4 4 5 5 6 5 6 5
## [43705] 2 3 5 4 4 3 6 5 5 4 2 4 4 2 4 4 1 4 3 4 3 5 5 2 3 5 5 6 1 4 2 3 4 3 4 3
## [43741] 2 5 3 6 4 6 6 4 5 2 5 4 4 1 1 4 2 3 2 4 4 4 4 3 4 5 4 4 4 3 6 3 4 6 6 6
## [43777] 4 6 3 4 2 4 4 3 2 4 4 2 2 4 4 4 1 3 5 2 2 4 3 5 4 2 6 5 6 4 4 3 3 4 5 4
## [43813] 1 2 2 5 4 3 6 4 4 4 4 3 3 3 2 4 5 5 3 5 5 4 2 6 3 6 2 3 5 4 3 4 4 4 2 6
## [43849] 6 3 6 6 5 4 2 5 4 4 6 1 3 3 3 6 2 2 5 4 6 4 2 4 6 6 5 6 3 4 5 5 3 4 2 3
## [43885] 6 4 6 4 4 2 6 4 4 5 4 4 2 5 4 4 6 2 6 5 2 4 4 4 5 3 3 3 1 4 4 5 6 3 6 5
## [43921] 6 6 3 5 3 2 5 3 4 4 5 5 5 4 2 1 4 2 4 4 5 5 2 3 5 2 6 3 5 4 4 2 4 6 3 3
## [43957] 3 3 3 4 5 5 1 2 5 5 4 2 4 1 2 4 4 4 5 5 3 6 4 2 2 5 4 3 2 4 1 6 6 6 5 4
## [43993] 2 4 6 2 4 4 6 4 3 6 3 5 5 6 4 2 5 5 3 4 4 3 2 6 3 4 6 4 3 4 6 4 5 2 1 5
## [44029] 3 2 5 4 5 4 5 5 5 4 5 3 6 4 6 3 4 6 1 3 3 3 1 5 2 2 3 4 5 4 2 3 6 1 6 4
## [44065] 5 4 4 2 4 4 3 3 2 4 5 5 2 5 5 3 2 6 4 4 2 4 4 6 6 4 5 4 4 2 3 4 6 5 3 5
## [44101] 2 2 4 3 4 2 6 4 4 5 1 5 5 4 6 2 3 5 5 5 3 6 6 3 5 1 4 4 6 6 1 4 4 5 4 3
## [44137] 5 6 4 4 3 2 5 4 6 4 2 6 2 3 1 5 3 3 3 3 3 4 6 4 6 2 3 4 4 6 6 3 5 1 5 3
## [44173] 4 5 4 2 5 4 6 4 6 3 6 4 6 1 6 6 4 1 3 6 4 3 6 6 2 3 2 5 6 6 6 4 4 4 3 4
## [44209] 4 4 4 5 6 4 6 6 2 4 1 6 3 1 3 5 3 4 4 2 5 4 4 4 6 6 6 6 6 2 2 4 3 4 2 4
## [44245] 4 5 5 1 3 6 6 1 4 5 6 2 4 3 4 2 4 4 4 4 4 5 4 5 5 5 5 2 5 4 4 4 6 4 2 3
## [44281] 4 4 2 3 1 5 6 6 5 3 3 5 3 5 5 3 6 5 4 4 3 4 2 5 3 3 3 4 4 6 4 3 3 4 2 2
## [44317] 6 2 4 3 6 3 4 3 4 2 4 2 4 5 4 2 4 2 6 2 4 4 2 3 4 5 6 6 5 3 6 4 5 5 3 3
## [44353] 5 3 4 3 3 4 3 4 3 6 3 6 3 6 5 6 3 5 2 4 5 3 3 5 2 4 5 3 4 4 5 5 4 6 2 4
## [44389] 3 5 4 1 2 3 6 3 5 4 5 5 2 6 6 2 6 6 3 5 4 2 4 4 4 4 6 5 6 2 5 5 5 2 5 2
## [44425] 2 4 3 4 4 3 2 6 2 2 3 3 6 4 3 6 6 2 4 3 2 5 3 4 4 6 4 4 4 2 3 2 5 2 3 3
## [44461] 3 3 5 2 4 4 6 4 5 4 4 6 2 3 4 4 6 4 5 4 3 5 5 3 5 6 4 6 5 6 6 3 1 3 3 4
## [44497] 3 6 4 2 4 6 2 5 3 2 1 4 4 6 2 2 4 3 5 4 2 5 4 5 4 6 2 1 4 3 5 6 4 5 4 4
## [44533] 5 4 5 5 5 2 6 6 4 5 1 2 5 6 5 4 2 3 2 3 6 3 4 3 4 3 3 6 5 3 4 5 1 6 5 6
## [44569] 5 3 5 4 2 2 4 6 4 4 4 6 3 5 6 5 6 6 4 4 3 6 4 5 5 4 4 3 4 3 6 3 4 4 1 3
## [44605] 1 5 3 2 3 3 3 3 2 3 5 4 5 4 4 5 3 1 4 4 5 2 1 4 3 6 6 5 4 5 6 1 5 6 2 1
## [44641] 3 4 6 3 3 4 4 3 3 6 4 2 5 4 4 2 4 1 6 4 5 3 5 4 6 5 5 4 4 5 1 3 6 5 4 5
## [44677] 5 2 3 4 4 2 6 5 5 3 4 2 6 4 5 2 3 3 6 4 2 2 3 2 1 2 5 6 6 6 4 4 3 3 4 2
## [44713] 3 2 6 6 3 2 6 2 6 5 3 4 4 5 3 5 6 3 3 3 6 3 4 3 4 3 6 5 6 3 6 3 6 4 4 3
## [44749] 4 2 2 4 4 4 5 2 4 4 3 4 3 6 6 4 5 6 1 5 5 6 5 3 3 6 5 1 5 6 5 2 4 5 4 4
## [44785] 6 4 5 2 2 6 3 2 6 3 3 4 6 2 4 2 4 6 4 4 2 3 4 3 3 3 4 4 2 2 5 4 5 5 4 4
## [44821] 1 3 2 3 2 5 2 4 5 4 6 2 4 2 2 4 5 5 2 6 4 5 3 2 2 2 5 4 6 1 6 5 2 3 2 2
## [44857] 5 1 5 5 5 4 3 2 1 4 3 4 5 6 5 1 3 4 5 6 2 5 4 5 2 1 5 3 4 6 1 5 3 4 1 4
## [44893] 2 6 3 3 4 4 2 4 4 1 2 4 6 4 4 5 2 3 5 4 5 3 2 3 6 3 4 5 1 6 4 2 3 4 4 5
## [44929] 3 4 2 5 5 5 5 4 6 1 5 3 6 2 2 5 2 3 4 2 2 3 5 4 4 2 3 3 4 3 4 2 6 6 2 4
## [44965] 3 6 1 4 5 2 4 5 3 4 3 5 2 5 2 2 4 4 4 4 5 1 5 3 4 5 2 4 4 6 4 4 4 3 5 6
## [45001] 3 6 5 4 4 4 4 2 3 4 2 3 2 5 4 5 2 4 2 3 3 6 4 2 4 2 3 5 6 6 3 4 6 6 4 4
## [45037] 4 4 5 4 2 4 3 5 4 4 4 4 6 6 2 6 4 3 2 4 6 4 4 3 4 4 1 1 6 4 6 4 2 2 1 5
## [45073] 3 4 2 2 2 4 4 3 4 4 4 4 2 4 1 5 6 2 3 2 2 4 3 3 4 3 4 3 2 4 5 5 5 3 6 4
## [45109] 4 1 3 4 4 4 4 3 3 5 6 4 5 3 4 5 5 4 4 4 6 2 4 4 5 3 2 5 4 3 4 4 6 4 5 3
## [45145] 6 3 4 2 4 3 2 4 4 4 6 4 5 4 3 4 4 4 4 4 2 4 4 3 3 6 2 4 4 4 3 5 4 5 5 1
## [45181] 3 6 4 5 4 5 4 4 3 4 2 2 1 4 4 4 3 4 5 2 3 4 4 5 4 5 2 3 3 5 2 5 3 6 4 3
## [45217] 5 4 3 3 2 5 2 4 4 4 4 4 5 4 3 5 6 3 4 5 4 3 2 3 4 5 5 4 6 3 5 4 6 4 6 3
## [45253] 3 4 3 4 5 4 5 3 5 4 4 2 6 2 6 4 3 4 4 2 4 2 5 4 6 5 5 6 6 4 5 6 1 6 4 5
## [45289] 5 2 3 2 4 6 2 6 4 5 3 3 3 4 6 4 4 4 4 6 6 3 3 2 3 6 4 5 4 1 4 5 6 4 5 2
## [45325] 3 6 5 4 3 4 2 3 3 4 5 4 6 3 4 4 1 1 6 6 5 6 4 6 6 6 3 4 3 3 2 2 5 4 4 3
## [45361] 3 3 4 3 2 3 4 4 4 4 4 5 2 5 4 4 6 1 4 2 3 6 4 2 3 5 4 4 4 6 5 4 4 4 5 3
## [45397] 5 4 2 6 3 3 5 2 5 1 6 2 5 6 5 6 2 3 1 5 4 3 4 6 6 6 6 5 3 3 4 3 4 2 4 6
## [45433] 6 4 5 5 1 4 5 5 3 4 2 3 5 6 4 2 5 4 4 2 3 4 3 5 1 5 6 6 5 5 6 2 1 5 4 3
## [45469] 4 4 4 4 4 4 2 3 4 4 4 3 5 4 2 2 5 2 4 4 2 6 4 5 3 5 5 5 3 6 6 4 4 5 2 2
## [45505] 6 5 4 2 4 3 5 4 5 6 4 3 1 2 6 6 2 6 2 4 3 5 4 4 1 3 3 4 4 3 3 4 5 2 1 5
## [45541] 5 5 4 5 5 2 2 3 6 5 1 5 2 4 5 5 3 3 5 2 5 2 4 2 1 4 6 2 5 6 3 3 4 3 5 2
## [45577] 3 3 3 5 6 5 5 6 5 4 5 3 6 4 4 5 4 3 6 4 3 4 3 2 4 4 2 6 3 4 4 2 3 6 1 3
## [45613] 2 2 2 5 3 3 4 2 5 2 4 3 3 6 2 4 2 5 2 4 5 5 5 3 4 2 2 3 2 5 6 2 1 4 6 5
## [45649] 2 4 3 4 6 4 3 4 3 4 4 2 4 6 4 5 3 5 6 5 1 4 2 4 2 4 3 4 2 5 3 2 5 6 4 3
## [45685] 4 6 4 6 3 3 6 6 3 4 4 3 1 6 5 5 2 5 5 5 4 3 6 2 4 4 1 4 5 3 3 6 3 3 2 5
## [45721] 5 4 2 4 2 6 4 3 4 5 2 4 3 4 3 4 4 2 4 6 5 5 3 3 5 6 4 5 3 2 4 2 3 6 3 4
## [45757] 2 4 6 6 5 4 6 2 6 5 4 4 6 4 4 6 6 5 6 3 2 2 2 3 4 4 3 2 4 3 5 6 3 3 4 4
## [45793] 3 1 3 3 4 6 4 5 6 2 6 3 4 4 5 3 1 5 5 5 3 4 5 2 5 3 5 4 5 2 4 3 6 6 6 6
## [45829] 4 2 2 4 2 4 4 2 4 1 4 5 5 4 2 4 5 2 1 2 4 3 6 2 6 5 3 4 5 6 3 4 6 5 6 2
## [45865] 4 5 4 2 5 2 3 3 5 3 3 6 5 2 5 4 2 1 4 5 3 6 3 2 6 3 5 4 2 2 5 4 6 5 4 3
## [45901] 4 3 6 3 2 5 5 2 4 2 4 4 6 4 2 3 5 1 6 3 4 4 4 2 2 3 5 4 5 6 4 4 4 2 5 4
## [45937] 3 3 6 3 6 6 4 4 2 1 3 3 1 5 4 2 6 4 4 3 4 5 6 4 4 4 4 6 5 2 6 3 5 6 3 4
## [45973] 2 3 4 2 5 4 2 3 2 4 2 4 4 3 3 4 2 4 5 4 4 5 3 6 6 3 2 2 2 1 5 4 4 4 4 5
## [46009] 3 4 5 4 2 3 4 4 4 5 2 5 6 3 2 6 4 4 5 3 4 2 4 6 3 4 2 5 5 6 4 4 6 4 1 3
## [46045] 5 4 4 3 4 5 6 5 4 4 4 4 4 1 6 1 4 2 4 4 3 4 2 5 4 4 3 6 4 2 3 3 1 3 3 6
## [46081] 6 4 1 5 3 5 3 2 2 4 4 4 2 3 4 4 3 2 2 5 3 1 6 6 5 4 4 1 3 3 6 6 6 5 4 1
## [46117] 4 2 4 4 3 4 2 2 5 4 6 6 6 4 3 2 3 3 4 2 4 4 3 1 4 3 3 4 5 4 4 3 6 6 5 4
## [46153] 6 4 5 3 5 2 4 3 6 4 4 3 5 6 3 3 4 4 1 4 5 3 5 3 6 5 5 6 4 4 3 6 4 6 5 3
## [46189] 4 2 3 2 1 6 4 3 3 2 3 3 3 6 4 5 4 1 5 5 6 3 6 4 1 5 5 2 4 3 4 3 1 4 1 6
## [46225] 5 6 6 3 2 3 3 3 4 6 5 2 5 2 4 2 6 6 4 5 3 6 4 4 6 3 6 3 5 4 3 3 4 3 4 4
## [46261] 5 5 2 4 5 4 3 4 3 3 4 3 4 3 4 4 4 3 6 4 4 3 4 5 6 3 4 4 4 4 5 2 5 2 5 6
## [46297] 4 4 4 1 2 4 3 3 5 2 4 3 4 5 3 4 4 4 4 3 3 3 3 3 4 4 4 6 4 5 4 4 3 2 2 6
## [46333] 4 2 4 3 4 3 4 4 6 4 3 1 5 5 4 1 5 4 4 2 4 4 2 5 3 6 6 2 6 3 2 2 4 4 5 3
## [46369] 3 6 6 3 1 4 3 6 4 4 6 4 2 3 3 2 4 6 4 2 6 2 3 3 6 5 4 3 1 1 3 5 4 2 3 5
## [46405] 3 2 2 2 6 4 5 1 2 2 4 6 4 1 4 5 4 4 1 4 3 3 2 3 4 5 4 4 4 4 5 3 5 3 4 6
## [46441] 5 4 4 3 4 4 3 2 4 6 3 4 4 5 3 3 4 3 4 4 1 3 3 3 4 4 2 5 6 3 5 6 3 5 4 3
## [46477] 3 6 3 2 3 4 3 4 3 4 5 6 4 6 6 4 4 6 3 6 5 6 6 6 5 6 3 5 3 5 5 5 4 4 4 3
## [46513] 2 3 2 6 4 4 2 3 2 3 3 6 4 6 2 1 4 4 3 6 2 4 5 3 4 1 4 3 4 6 3 6 2 5 4 2
## [46549] 1 4 4 2 5 3 2 6 4 4 5 4 3 4 1 6 5 5 4 1 3 5 6 5 3 4 3 6 6 4 2 3 3 2 4 1
## [46585] 4 5 2 5 3 3 3 4 3 3 5 2 4 5 2 2 4 5 3 4 5 6 2 3 1 4 5 4 4 5 2 3 5 4 6 3
## [46621] 3 2 3 5 3 6 5 4 5 5 2 4 5 5 6 3 6 1 2 3 3 4 6 1 4 3 3 4 4 2 2 4 3 4 3 4
## [46657] 4 4 2 5 2 6 3 6 3 6 3 3 3 3 5 5 6 1 5 4 6 2 5 6 2 4 2 5 6 5 3 3 4 3 5 1
## [46693] 4 1 2 6 6 2 4 6 5 4 5 4 6 2 4 4 3 2 4 4 3 4 6 5 3 3 3 4 1 3 5 1 2 4 2 3
## [46729] 3 4 4 1 2 3 1 6 4 3 4 4 5 4 4 4 2 5 4 5 3 2 4 2 5 4 4 1 1 6 3 4 4 6 6 6
## [46765] 3 4 3 5 4 4 3 4 2 5 4 2 4 5 4 4 3 6 4 2 2 4 5 4 2 4 4 3 3 3 4 1 4 2 5 2
## [46801] 3 6 3 3 3 3 3 6 4 1 4 2 4 2 2 3 5 6 3 5 3 4 2 5 6 5 4 5 3 4 2 6 2 5 4 4
## [46837] 4 3 4 3 4 3 4 3 3 5 5 3 4 3 4 4 4 1 4 3 2 2 5 5 5 1 1 6 4 4 2 3 4 5 5 6
## [46873] 5 4 2 1 6 3 3 6 3 5 4 4 6 3 5 6 5 5 3 5 3 4 6 4 4 3 5 4 2 3 2 5 1 1 4 6
## [46909] 2 4 4 6 3 3 1 5 6 4 3 2 5 3 2 3 5 1 4 4 3 4 3 6 6 2 4 2 4 4 4 2 4 3 6 4
## [46945] 3 4 2 4 2 2 3 4 3 5 4 4 4 6 6 5 2 6 4 3 4 4 4 2 3 1 3 5 5 5 2 4 5 5 5 5
## [46981] 5 6 3 5 3 3 2 1 4 2 6 4 4 4 3 4 4 3 3 4 5 3 3 2 3 5 4 4 1 4 3 5 4 4 2 5
## [47017] 6 6 3 6 6 5 4 5 5 4 6 6 6 5 4 2 2 3 4 4 4 4 1 3 3 3 2 3 3 2 3 4 4 5 4 2
## [47053] 4 2 4 2 2 3 6 3 4 6 3 3 3 1 4 5 2 3 3 5 5 4 2 3 3 5 5 1 5 5 4 4 4 5 5 5
## [47089] 3 3 4 6 4 3 5 5 4 4 4 5 6 2 3 5 5 2 6 6 2 1 2 2 2 5 4 3 5 6 4 3 4 4 6 6
## [47125] 1 4 4 5 4 4 2 2 2 4 6 4 6 4 2 4 4 2 2 4 4 3 4 3 4 6 1 2 1 6 4 2 2 4 6 6
## [47161] 4 4 6 3 6 6 3 6 6 3 6 6 5 5 4 4 3 3 6 3 4 4 4 4 5 5 3 2 1 3 2 5 4 3 2 3
## [47197] 1 4 4 6 5 5 5 4 5 6 6 4 3 5 2 4 5 6 3 3 5 2 1 2 2 5 5 5 3 5 3 3 5 4 5 4
## [47233] 2 4 2 3 1 3 5 1 5 3 6 1 3 3 4 5 6 3 4 4 4 5 3 2 2 4 4 2 3 2 3 6 3 3 4 4
## [47269] 5 6 2 1 5 4 3 6 2 2 4 3 2 5 2 3 3 2 4 1 2 2 4 4 5 3 5 6 2 5 2 2 4 4 2 4
## [47305] 2 4 6 4 6 6 6 1 2 5 5 4 4 5 6 5 3 4 3 4 5 2 4 4 1 4 3 4 4 2 4 6 4 4 3 5
## [47341] 4 5 2 3 4 6 5 1 2 3 2 4 5 2 2 4 2 4 4 6 4 2 2 3 2 3 5 5 3 6 5 3 5 4 5 6
## [47377] 5 4 3 4 4 4 4 5 4 3 2 3 4 5 2 2 3 6 6 2 5 3 1 4 4 2 3 3 2 3 5 4 2 6 2 5
## [47413] 2 6 6 3 4 5 4 5 3 3 3 4 4 2 3 6 6 6 2 2 6 2 2 3 2 2 4 6 6 5 6 6 2 1 6 6
## [47449] 3 4 3 2 4 3 4 1 5 4 3 4 5 2 6 4 4 6 3 6 2 3 5 3 3 4 2 3 5 6 4 5 3 6 6 6
## [47485] 5 4 4 2 4 5 6 4 1 3 4 4 2 1 1 5 2 5 4 5 4 2 3 4 6 2 1 5 2 5 6 3 3 5 4 6
## [47521] 5 4 3 3 5 2 5 5 2 6 4 5 5 4 3 4 2 1 6 5 6 3 6 4 2 2 4 5 3 4 5 4 3 5 2 3
## [47557] 5 4 4 5 4 3 4 3 3 2 3 6 6 4 4 1 4 4 5 4 5 3 2 4 4 3 4 1 6 6 6 2 4 5 3 4
## [47593] 2 2 3 3 4 5 4 3 4 1 4 4 2 4 4 2 4 2 4 4 5 3 3 3 2 4 2 5 5 4 5 4 4 2 6 5
## [47629] 4 3 4 4 5 2 4 1 4 5 6 2 5 4 2 3 3 5 4 2 6 4 2 4 6 4 5 4 3 1 1 3 2 1 1 6
## [47665] 1 5 6 4 3 4 4 3 6 1 4 2 3 3 2 4 2 4 3 2 3 5 6 3 4 2 5 2 4 6 2 4 5 2 5 2
## [47701] 6 2 4 3 3 4 6 5 5 5 4 3 5 6 3 2 3 3 6 4 3 4 3 2 2 5 3 4 3 4 3 5 6 5 2 4
## [47737] 6 4 2 4 6 6 4 5 2 4 4 5 5 2 5 4 5 3 2 3 3 3 2 4 4 5 6 4 6 5 4 4 3 3 1 4
## [47773] 3 6 4 4 3 4 5 4 4 2 3 4 4 3 3 4 6 4 6 5 4 4 2 3 4 2 2 4 2 4 3 3 5 2 5 4
## [47809] 3 2 5 4 4 4 3 2 5 3 4 4 1 4 3 4 4 5 5 6 3 4 5 6 3 5 4 3 4 4 1 5 2 3 4 4
## [47845] 2 4 5 4 4 6 3 4 2 3 4 2 4 3 3 1 3 6 4 5 4 1 5 4 4 2 4 4 6 4 3 2 4 1 5 5
## [47881] 4 4 2 4 5 3 4 4 6 5 4 4 3 2 3 3 1 6 4 3 1 5 5 2 2 3 3 2 4 6 3 4 3 4 4 4
## [47917] 2 1 4 1 2 5 6 6 4 6 3 4 3 1 5 2 4 4 3 4 4 3 2 3 3 1 4 4 4 6 6 6 5 3 4 4
## [47953] 4 4 5 3 5 5 3 2 6 2 4 2 2 4 4 2 2 6 5 5 6 2 6 2 1 6 5 3 2 2 2 6 1 5 6 5
## [47989] 3 3 2 4 4 5 4 6 3 5 3 4 4 3 5 6 2 4 4 4 5 6 5 4 4 3 6 5 6 2 3 6 5 4 5 2
## [48025] 5 5 2 2 3 4 3 4 2 3 6 6 3 4 4 4 5 4 4 4 2 2 5 4 4 6 3 4 5 4 4 3 4 6 1 1
## [48061] 2 1 3 3 5 2 3 6 6 5 6 4 3 1 5 5 2 3 3 3 6 4 4 4 3 2 5 6 3 4 3 3 4 3 3 6
## [48097] 6 4 3 5 6 4 6 4 4 2 4 2 4 2 4 3 4 6 6 5 4 4 3 2 4 3 3 1 3 3 4 4 4 2 4 6
## [48133] 2 6 5 3 4 3 4 4 2 2 2 5 1 2 4 3 4 5 2 5 2 2 5 6 6 3 3 4 4 4 6 5 6 3 4 3
## [48169] 3 3 6 3 4 5 1 4 3 2 4 3 3 2 4 4 4 4 4 4 3 6 5 2 4 5 6 3 3 6 3 4 3 5 2 1
## [48205] 4 4 4 2 1 2 5 2 3 2 6 5 4 2 4 6 2 6 5 1 1 2 2 5 4 5 3 4 5 3 5 4 5 3 6 6
## [48241] 6 4 3 4 6 2 4 5 4 6 4 6 1 2 4 2 4 5 5 2 2 3 3 4 6 3 6 4 1 1 3 4 4 5 4 6
## [48277] 2 4 2 2 4 6 3 6 2 5 4 2 2 3 3 3 2 3 1 2 5 5 4 2 5 2 3 6 3 4 6 2 5 6 3 5
## [48313] 5 4 4 5 4 4 4 4 4 5 3 4 3 6 4 5 6 1 2 3 4 6 4 4 1 4 4 2 4 4 4 3 3 6 4 3
## [48349] 3 2 6 2 1 6 2 6 3 3 4 3 4 4 2 5 5 5 5 3 3 4 3 2 4 6 4 3 5 5 5 6 4 6 2 4
## [48385] 6 3 3 4 4 5 4 4 6 4 2 4 3 2 6 3 5 4 4 3 5 5 4 2 4 3 4 6 5 5 4 4 4 2 3 2
## [48421] 4 4 4 3 4 6 2 3 2 2 3 4 3 2 5 5 4 1 6 3 6 3 3 2 5 6 2 6 4 3 4 3 5 4 4 4
## [48457] 4 2 4 2 5 2 4 4 3 5 2 5 3 2 4 3 4 4 5 5 5 3 4 5 6 4 3 4 5 3 1 5 2 3 5 1
## [48493] 1 4 2 4 3 4 3 5 4 6 4 6 1 1 6 4 6 3 3 3 2 5 3 4 6 6 3 2 2 2 4 4 5 2 2 5
## [48529] 2 5 3 2 6 6 1 5 2 5 4 6 6 1 5 5 6 6 3 2 6 3 2 2 3 2 4 2 4 6 2 3 2 3 3 5
## [48565] 3 2 2 5 4 5 4 3 4 4 4 4 4 4 5 3 5 4 2 5 5 3 5 2 6 4 2 2 5 2 2 3 2 2 3 4
## [48601] 2 4 6 6 3 4 6 2 3 4 5 4 2 2 5 6 2 1 3 1 4 5 6 3 4 4 6 5 6 4 1 5 3 4 4 4
## [48637] 4 4 5 2 4 3 4 2 1 5 4 4 6 4 6 5 3 6 3 5 2 6 4 4 3 4 6 4 6 2 2 5 6 6 5 5
## [48673] 2 5 6 3 6 3 4 5 4 5 2 2 6 6 3 2 2 4 4 3 4 4 2 4 3 2 4 6 2 4 4 5 6 6 3 2
## [48709] 4 5 4 3 2 4 4 5 6 4 6 4 2 4 5 4 4 4 5 4 6 1 4 5 5 5 6 4 4 2 2 4 4 4 2 4
## [48745] 2 4 6 2 5 4 2 2 2 4 2 3 4 2 3 2 1 5 6 4 5 4 6 3 4 5 5 5 3 4 3 4 6 5 5 6
## [48781] 6 3 6 4 6 4 2 4 3 3 4 4 4 1 4 2 4 4 6 2 4 4 4 4 1 6 4 3 6 5 3 6 3 6 3 2
## [48817] 2 5 4 4 6 3 4 5 3 3 5 5 4 3 4 5 4 4 4 2 4 6 5 3 3 2 4 4 2 4 3 5 6 3 4 5
## [48853] 6 2 4 4 4 5 2 5 3 3 5 5 3 2 5 2 2 6 4 6 2 1 4 5 4 3 3 3 1 4 5 4 4 4 5 5
## [48889] 6 4 4 3 5 1 6 6 6 4 5 6 4 4 3 3 1 2 6 3 4 2 5 4 1 2 3 5 2 5 3 4 4 5 5 4
## [48925] 6 1 4 4 4 4 2 4 5 4 4 3 5 4 4 1 3 6 2 2 6 3 3 3 5 3 3 2 3 6 6 4 2 4 2 4
## [48961] 1 3 2 2 3 4 4 6 2 2 5 2 2 2 5 2 5 3 3 6 2 5 4 2 5 5 4 1 2 2 4 4 2 2 4 5
## [48997] 6 3 3 3 6 4 2 3 4 5 5 4 4 4 6 4 3 4 4 5 3 4 3 5 4 4 5 4 5 4 3 4 4 4 3 4
## [49033] 5 4 4 6 4 6 6 4 5 4 2 4 3 2 6 2 4 6 6 2 4 6 2 2 3 1 4 4 4 6 3 1 5 5 3 6
## [49069] 2 4 5 4 4 2 2 3 3 5 4 6 2 4 3 1 6 3 4 6 3 5 1 5 4 5 5 4 4 4 1 4 2 2 3 2
## [49105] 6 5 2 2 4 2 4 2 3 4 4 4 6 4 4 4 6 5 4 4 2 3 2 2 3 2 6 5 3 4 5 2 4 4 2 2
## [49141] 1 5 3 2 4 5 5 4 3 5 3 2 6 4 4 6 1 4 4 5 6 3 4 2 1 3 3 4 3 3 2 5 3 6 2 4
## [49177] 5 3 5 5 2 4 4 3 6 4 5 4 4 2 5 1 6 4 6 5 4 6 2 4 2 2 4 3 3 3 3 3 2 4 4 2
## [49213] 2 4 3 4 4 4 5 5 3 5 4 3 5 3 3 4 3 4 5 3 3 2 4 5 4 3 6 4 2 4 5 4 5 5 4 3
## [49249] 2 3 5 5 2 4 4 5 5 2 4 6 2 5 4 4 5 6 5 2 4 6 5 4 6 6 4 5 3 5 4 4 4 6 3 6
## [49285] 3 4 3 6 4 4 4 4 2 4 6 3 4 4 2 1 6 1 5 3 3 3 4 4 3 6 4 4 2 4 4 3 3 5 4 5
## [49321] 5 4 3 3 5 4 4 5 4 2 3 6 2 3 6 4 5 3 3 2 5 5 4 5 4 3 3 3 3 2 6 4 5 6 5 4
## [49357] 1 5 4 4 6 2 6 3 2 4 1 4 2 2 3 4 2 5 5 2 2 4 4 3 4 1 6 2 5 5 3 3 4 2 4 3
## [49393] 2 3 4 4 5 5 4 4 4 6 2 4 3 4 6 2 5 4 6 3 4 1 4 3 4 4 4 5 5 3 6 4 3 2 2 3
## [49429] 3 4 6 5 2 5 6 4 3 4 5 6 2 4 2 3 2 6 4 1 5 2 3 6 6 3 4 4 4 6 5 2 3 4 1 5
## [49465] 4 3 3 5 3 5 5 3 3 4 3 6 3 4 6 5 2 3 4 4 4 6 3 3 6 4 4 1 5 4 3 5 1 3 3 2
## [49501] 6 5 3 3 6 5 5 6 1 6 5 5 2 4 2 4 4 2 6 3 3 4 4 6 1 5 2 2 5 3 5 3 5 2 4 4
## [49537] 6 2 2 2 3 5 4 4 4 2 2 4 5 4 2 5 5 4 2 2 2 6 4 5 4 3 2 4 5 3 2 3 5 4 4 4
## [49573] 4 3 3 4 4 4 4 6 3 3 2 3 5 2 1 4 4 3 3 5 3 2 3 5 4 4 3 5 5 6 2 4 5 2 4 4
## [49609] 4 4 3 5 5 4 2 4 3 2 2 2 3 5 5 1 5 3 4 6 3 5 6 4 6 1 5 4 5 5 6 4 4 1 4 6
## [49645] 4 3 6 5 5 5 6 5 4 4 4 2 3 5 1 4 3 2 4 6 1 3 2 4 2 2 5 4 1 2 6 3 5 5 4 4
## [49681] 5 6 2 4 3 2 4 2 3 5 2 6 5 4 2 6 2 3 4 3 3 3 5 4 2 3 1 2 4 3 5 4 6 3 3 4
## [49717] 6 4 2 3 2 1 6 1 5 3 4 2 3 6 5 2 6 5 2 4 2 3 3 4 4 3 6 6 1 5 3 2 4 4 2 4
## [49753] 3 4 4 4 4 5 6 6 1 5 4 1 5 3 6 4 5 6 4 6 1 4 6 2 5 2 3 2 5 2 2 5 3 4 6 6
## [49789] 2 6 3 4 5 1 2 4 3 5 2 1 4 4 6 3 5 2 3 3 1 3 5 4 3 3 4 6 5 4 5 1 2 4 4 4
## [49825] 3 2 3 4 6 4 5 4 4 3 4 5 5 2 5 3 4 3 5 1 2 1 6 2 5 2 2 4 6 4 5 3 6 4 3 3
## [49861] 4 6 6 4 4 4 4 6 4 3 4 6 2 4 6 2 3 5 4 5 4 4 4 2 6 4 5 4 5 5 5 1 4 4 2 5
## [49897] 4 4 3 4 6 5 1 6 2 1 6 6 4 5 1 1 5 4 6 6 3 4 4 4 2 5 4 3 4 4 4 4 2 5 4 5
## [49933] 3 4 4 6 2 2 4 3 5 3 2 3 3 2 3 4 4 3 2 6 5 3 4 2 4 3 4 4 4 5 4 5 4 3 6 6
## [49969] 5 3 6 4 5 4 5 6 4 4 3 2 2 5 2 3 3 4 6 4 5 4 6 3 5 5 4 5 4 4 4 4 3 1 3 2
## [50005] 3 6 4 5 4 6 5 5 5 2 3 3 4 2 5 5 4 4 6 5 5 5 3 3 3 4 6 4 6 3 4 6 1 4 1 5
## [50041] 6 2 4 2 4 4 4 4 3 4 6 3 3 4 1 6 4 5 6 3 3 4 4 4 5 3 6 3 6 5 4 2 2 3 4 2
## [50077] 6 5 4 4 1 6 6 3 1 4 5 5 3 2 1 1 3 2 5 2 6 4 3 3 1 4 3 5 5 3 4 3 2 3 2 5
## [50113] 5 4 6 2 4 4 3 6 4 3 3 5 4 5 3 3 6 4 6 6 5 5 6 4 5 4 3 4 5 6 4 5 6 2 1 5
## [50149] 2 2 5 6 4 2 4 4 5 6 5 6 2 4 5 4 1 4 3 4 4 4 4 4 2 4 5 4 6 4 1 4 2 3 5 6
## [50185] 6 5 4 5 4 4 4 2 2 3 5 4 4 2 3 3 2 2 3 2 2 4 2 4 5 2 2 4 6 5 4 2 2 3 5 4
## [50221] 4 2 3 4 4 6 6 4 2 6 3 5 6 4 5 6 2 5 4 5 4 4 2 3 5 2 3 3 2 2 5 6 5 2 4 6
## [50257] 4 4 4 2 2 2 4 6 2 5 5 4 3 1 4 2 3 4 4 6 6 3 5 5 3 4 1 2 5 6 5 5 4 5 1 4
## [50293] 4 6 3 4 3 4 3 5 4 3 5 2 3 4 4 5 5 4 5 4 6 4 4 3 4 1 3 5 3 4 2 2 3 6 5 5
## [50329] 3 4 6 2 4 4 4 4 3 3 3 3 5 6 3 2 3 4 6 1 2 5 4 4 2 4 4 4 4 1 3 6 1 4 6 3
## [50365] 3 4 4 6 3 6 2 6 4 6 3 3 6 2 4 1 2 4 4 4 4 4 2 3 5 4 4 3 4 4 3 2 4 4 2 3
## [50401] 4 3 5 4 6 1 3 4 3 4 6 5 4 5 6 6 6 4 1 4 4 3 4 5 4 5 4 2 6 4 2 6 3 6 5 1
## [50437] 2 4 6 5 4 3 4 6 2 2 2 2 3 6 4 4 3 6 3 2 6 3 6 5 2 5 6 4 5 4 4 6 1 1 3 5
## [50473] 6 4 6 3 3 6 4 5 4 2 4 4 4 5 5 4 4 3 5 4 4 4 5 2 2 2 5 6 5 5 5 3 4 5 3 3
## [50509] 2 4 3 3 3 5 4 4 4 4 5 4 4 2 5 3 5 5 6 3 4 3 4 5 6 5 3 5 5 5 4 4 6 5 4 5
## [50545] 3 6 2 4 4 4 5 5 2 1 5 6 3 4 1 3 3 6 3 1 3 3 2 3 4 3 3 4 5 1 2 3 1 3 2 5
## [50581] 2 3 2 3 3 6 4 4 4 2 3 3 6 2 4 2 6 6 3 1 5 5 6 1 5 6 5 4 5 4 4 5 3 3 2 4
## [50617] 4 3 2 3 6 4 2 4 2 4 4 4 5 3 3 3 2 3 1 4 4 2 6 3 5 1 2 4 2 5 4 3 6 4 4 6
## [50653] 3 2 3 4 6 2 4 3 1 5 3 4 4 2 4 5 4 6 4 5 4 3 6 4 6 1 4 3 6 5 1 3 4 2 6 3
## [50689] 3 4 4 4 1 1 2 6 4 5 5 2 2 5 4 2 3 4 4 5 4 2 3 5 3 3 2 5 5 3 4 4 2 2 4 4
## [50725] 2 4 3 6 1 4 4 3 4 4 4 4 4 6 5 4 3 4 5 3 2 5 6 5 3 6 4 6 6 5 5 4 5 4 3 5
## [50761] 3 2 4 4 5 5 5 4 2 3 3 3 6 3 4 6 3 1 6 6 4 3 4 6 3 3 4 6 3 1 4 2 3 6 4 4
## [50797] 2 4 4 5 4 5 6 3 5 4 5 5 5 4 5 5 4 3 4 4 4 5 6 4 3 4 4 6 2 4 4 2 4 2 1 5
## [50833] 6 4 5 5 3 3 4 4 3 4 6 5 4 6 5 5 4 4 3 4 6 2 5 2 3 6 6 3 3 4 4 6 1 3 1 4
## [50869] 5 2 2 6 4 3 3 4 2 2 3 5 6 3 3 4 1 5 4 4 3 2 4 5 6 4 3 5 3 4 3 3 2 4 4 4
## [50905] 3 2 4 4 5 2 5 5 5 2 4 2 4 4 2 4 6 6 4 2 2 2 2 3 5 3 5 5 5 2 4 2 5 2 6 6
## [50941] 4 3 4 5 2 3 6 5 3 6 6 3 3 5 4 5 6 4 4 3 6 4 4 2 4 6 5 3 4 3 1 3 4 6 4 5
## [50977] 4 4 4 5 4 4 2 6 5 4 4 3 1 3 4 5 4 6 2 2 6 5 3 4 4 4 5 4 5 4 3 1 3 3 1 6
## [51013] 2 6 1 2 1 3 2 4 3 4 4 2 4 2 6 6 4 4 6 2 2 3 4 4 5 4 3 2 5 5 3 3 4 3 4 4
## [51049] 5 4 4 4 5 4 3 6 3 6 3 5 2 5 2 2 4 4 2 5 3 1 3 2 4 6 4 3 5 6 5 2 5 5 3 3
## [51085] 3 2 3 6 6 2 2 3 3 6 5 2 4 2 4 4 2 3 5 6 4 6 4 1 4 4 2 6 6 6 6 4 4 4 4 4
## [51121] 4 4 4 3 2 3 5 4 4 4 4 4 3 5 3 5 5 2 3 3 4 2 2 2 3 5 6 2 6 4 4 6 3 4 4 2
## [51157] 6 1 4 3 3 3 2 5 2 4 4 1 1 3 1 4 6 6 6 4 6 2 5 6 5 6 4 4 5 5 3 4 5 4 6 4
## [51193] 2 5 2 3 6 6 4 4 2 4 4 4 4 6 1 2 2 4 4 6 3 2 4 4 5 2 4 6 5 4 1 4 2 5 6 5
## [51229] 3 6 5 4 6 4 5 3 3 4 2 4 2 4 4 2 1 2 5 3 1 4 3 4 3 3 2 1 2 5 3 5 6 6 6 1
## [51265] 6 3 5 2 1 2 4 4 4 4 5 4 4 3 4 5 5 4 3 5 6 2 1 2 4 5 6 1 4 6 6 4 4 4 2 2
## [51301] 5 4 1 3 3 2 4 6 3 4 2 2 4 3 3 5 5 6 2 5 5 4 3 3 1 3 3 5 2 2 3 3 4 2 6 3
## [51337] 5 4 5 4 3 4 4 5 6 4 4 2 6 4 4 4 6 4 6 6 2 6 6 3 3 2 2 5 4 2 4 4 2 4 4 2
## [51373] 2 3 4 4 3 5 5 2 4 4 2 6 4 4 5 4 2 4 6 4 4 5 6 3 3 4 4 3 2 4 2 3 3 4 4 3
## [51409] 5 6 3 2 3 5 4 5 3 4 6 3 6 4 1 3 5 2 4 3 6 4 4 4 5 6 4 5 2 5 5 2 4 3 2 5
## [51445] 5 5 6 3 2 5 4 5 3 1 5 3 3 4 3 2 3 5 4 4 1 4 4 3 4 6 2 3 3 3 1 5 2 4 6 3
## [51481] 5 1 6 4 2 2 1 4 4 2 6 4 5 4 4 2 3 2 2 4 4 5 4 4 2 6 6 5 3 3 2 5 4 4 5 2
## [51517] 4 3 2 5 2 2 2 5 2 2 5 3 4 6 5 3 4 6 4 4 2 3 4 3 4 4 6 1 5 3 5 6 2 4 4 4
## [51553] 1 6 2 2 2 5 6 2 3 4 3 4 4 6 6 4 5 1 3 5 4 4 4 2 2 1 1 2 3 1 2 4 4 3 2 6
## [51589] 3 1 3 4 6 6 4 5 2 3 1 1 6 3 5 4 5 6 5 2 4 4 4 5 4 4 2 4 2 2 3 1 4 5 4 3
## [51625] 4 6 5 5 4 6 5 3 4 3 4 5 3 3 3 6 4 4 2 3 5 4 4 3 4 6 1 3 4 4 2 4 2 5 4 5
## [51661] 5 2 3 5 4 5 3 4 6 1 2 3 2 4 3 4 4 2 3 4 6 6 3 4 5 6 4 1 6 4 4 4 2 6 3 6
## [51697] 2 4 6 3 3 3 3 6 4 2 4 4 5 3 1 5 3 4 2 6 3 3 5 4 3 6 4 3 3 5 5 4 6 6 4 4
## [51733] 5 2 3 6 6 4 3 4 4 2 5 3 3 2 4 5 5 2 5 2 3 3 4 2 4 2 3 2 5 4 4 6 3 5 4 6
## [51769] 3 6 6 5 6 2 4 4 6 4 4 5 5 3 2 4 2 3 3 4 6 4 5 4 2 2 4 5 4 4 6 3 3 2 5 6
## [51805] 5 4 4 2 4 3 4 2 4 4 1 4 4 3 6 5 4 4 3 3 3 6 3 5 4 6 4 6 4 4 4 1 5 3 6 5
## [51841] 5 3 4 3 4 2 4 4 3 1 4 2 5 4 4 5 3 4 5 4 4 4 5 4 6 3 3 3 6 6 6 1 4 4 3 5
## [51877] 6 1 6 5 6 5 5 1 4 5 6 5 4 2 5 5 4 2 3 2 3 5 4 3 2 4 2 2 6 4 5 2 4 6 6 6
## [51913] 3 4 2 2 3 6 2 4 2 2 2 3 4 2 3 5 4 5 4 2 4 4 2 3 4 2 4 2 4 2 5 6 4 4 4 3
## [51949] 2 3 3 2 3 6 5 4 4 5 3 5 2 3 6 5 5 3 3 4 2 2 3 2 3 5 2 1 4 2 4 4 5 3 1 3
## [51985] 3 2 6 5 4 4 5 4 4 6 2 2 3 1 3 4 5 6 4 2 4 5 2 4 3 4 3 5 2 4 4 4 5 4 2 2
## [52021] 6 6 4 4 5 4 4 3 3 3 4 4 4 6 3 2 6 5 4 5 5 5 5 4 5 1 4 6 5 1 4 5 3 4 4 6
## [52057] 4 2 3 5 6 3 2 6 4 2 2 2 3 5 4 5 2 1 3 6 5 4 3 2 3 4 4 1 6 3 5 5 3 4 5 4
## [52093] 3 5 4 4 6 6 4 5 4 2 6 6 5 6 6 2 5 4 4 2 6 5 3 6 6 5 6 3 3 4 2 3 3 2 3 4
## [52129] 3 3 4 2 4 2 3 1 3 3 6 5 4 4 3 6 5 1 2 4 3 2 2 3 6 5 3 5 4 4 3 6 3 4 1 3
## [52165] 4 6 3 6 6 2 6 6 1 1 3 2 6 5 4 4 5 3 2 4 2 2 6 4 4 2 5 3 2 5 3 5 5 4 2 1
## [52201] 4 1 5 4 4 4 6 4 4 3 5 4 4 4 2 4 4 2 5 4 4 4 3 6 4 4 3 5 2 4 2 3 6 6 6 2
## [52237] 2 3 6 6 4 6 5 4 3 3 3 2 6 6 5 3 5 6 4 1 4 3 3 5 4 4 4 4 2 6 4 4 6 2 6 4
## [52273] 4 5 2 4 5 3 4 2 2 6 2 3 4 3 3 2 4 4 6 2 6 5 5 6 5 4 1 4 3 1 6 4 6 6 2 4
## [52309] 2 4 4 4 2 5 6 5 6 5 3 4 6 2 2 3 1 2 3 4 2 3 2 4 4 5 2 5 3 2 3 4 3 5 5 4
## [52345] 6 4 3 4 4 4 2 5 4 1 6 2 3 2 6 5 4 4 4 6 3 1 4 4 5 4 2 3 5 4 6 6 2 6 4 3
## [52381] 5 1 4 6 2 3 4 4 2 6 3 6 2 4 4 3 3 3 6 5 5 6 4 4 2 4 3 3 3 4 2 6 3 3 5 3
## [52417] 5 3 5 5 6 4 3 4 1 4 2 5 4 2 3 6 1 6 4 3 1 3 1 3 6 5 1 5 1 4 6 4 2 2 3 5
## [52453] 5 4 2 2 4 2 6 5 4 4 3 2 5 4 4 4 4 3 4 5 4 4 3 3 2 5 3 4 5 5 2 3 4 4 3 3
## [52489] 6 2 5 6 3 6 3 6 4 3 4 4 2 4 4 2 6 4 4 5 6 5 4 2 2 4 2 4 2 4 4 5 6 3 3 2
## [52525] 2 2 6 6 6 5 2 5 3 5 3 4 3 3 5 5 2 6 2 3 1 3 3 4 5 3 4 6 4 6 4 5 4 4 5 6
## [52561] 6 3 5 6 4 5 1 6 6 4 5 3 4 2 3 5 4 4 4 1 3 3 2 2 5 3 4 3 6 2 4 4 5 3 3 3
## [52597] 3 4 6 3 4 4 5 6 1 6 5 5 4 6 3 2 3 5 3 2 3 5 4 4 3 5 3 3 6 3 4 4 5 1 4 5
## [52633] 4 3 4 4 2 4 4 6 5 2 5 6 6 6 6 5 4 5 4 4 3 5 2 3 2 4 3 2 6 4 1 5 4 4 3 3
## [52669] 3 2 4 4 1 4 3 1 1 5 5 4 2 4 3 3 2 5 4 4 3 1 6 4 4 1 2 2 4 2 1 3 5 1 3 6
## [52705] 4 3 3 5 1 3 2 3 6 2 4 4 4 6 2 5 2 6 5 3 4 6 2 4 6 6 6 2 6 5 4 4 3 6 4 5
## [52741] 6 2 4 2 1 2 2 4 2 3 5 3 4 5 3 3 4 5 6 4 3 4 1 6 4 6 5 2 5 5 3 5 4 5 3 4
## [52777] 3 4 5 3 4 3 3 2 4 4 5 6 2 4 5 6 3 3 5 5 3 6 6 3 2 2 4 5 4 4 4 4 3 3 4 4
## [52813] 3 6 6 4 4 2 5 5 5 2 3 6 4 1 6 6 3 4 5 2 3 4 4 4 5 2 4 4 2 3 2 1 5 5 6 2
## [52849] 6 5 3 4 1 6 3 6 2 4 4 2 5 3 4 4 3 3 2 2 4 4 2 3 3 2 4 3 4 2 2 4 3 4 4 2
## [52885] 4 3 1 6 3 6 3 2 2 3 5 5 4 4 5 3 6 4 4 6 1 5 4 2 5 6 2 3 6 2 4 6 3 6 5 4
## [52921] 2 5 2 3 5 4 2 6 3 2 5 2 4 5 3 6 5 1 6 2 5 4 4 5 1 5 3 2 4 4 5 3 4 4 3 3
## [52957] 6 4 4 4 4 6 2 4 5 5 4 1 5 4 5 6 6 6 3 1 5 4 2 6 5 2 5 6 4 4 2 4 4 4 2 4
## [52993] 3 2 5 4 1 4 2 5 2 6 4 2 4 2 3 2 4 4 3 3 3 3 3 6 4 2 4 3 2 5 6 6 4 4 5 2
## [53029] 2 4 4 4 3 2 2 2 5 1 2 5 5 2 4 5 5 5 6 3 5 2 5 4 2 3 2 4 3 4 1 2 2 5 2 1
## [53065] 6 6 4 6 2 6 6 3 2 6 5 6 4 3 5 4 4 2 6 3 1 5 5 6 2 2 4 4 4 6 3 3 3 4 5 4
## [53101] 3 3 4 4 6 2 3 4 6 4 4 3 2 6 5 1 3 3 5 5 4 5 6 4 4 3 4 3 4 4 6 2 2 5 6 4
## [53137] 3 4 3 5 3 4 5 5 5 2 4 4 3 3 4 4 5 4 3 5 3 4 5 2 4 3 2 3 2 4 3 4 1 4 5 3
## [53173] 4 3 3 4 3 1 2 4 5 5 4 5 3 2 2 5 4 2 3 5 5 1 4 5 4 6 5 6 1 2 3 3 4 4 4 4
## [53209] 2 6 3 4 4 5 4 4 3 4 4 4 4 5 3 3 3 6 3 1 5 5 4 4 2 6 3 2 4 5 3 4 4 3 5 3
## [53245] 2 6 4 6 5 3 2 4 4 3 6 6 6 5 5 1 2 5 1 6 5 5 6 5 2 4 5 2 2 3 4 4 3 5 4 4
## [53281] 4 3 3 4 3 4 4 4 4 4 4 3 3 4 3 6 5 2 3 6 5 3 3 3 3 4 2 6 4 6 6 3 2 2 5 2
## [53317] 5 1 3 3 5 5 4 4 3 3 3 4 6 4 1 2 2 4 2 2 6 3 3 2 4 5 4 5 1 6 1 4 3 4 5 4
## [53353] 1 4 4 1 5 5 4 4 2 4 4 4 5 6 6 4 2 4 4 4 4 2 2 2 3 4 3 4 4 4 4 2 6 5 2 4
## [53389] 3 3 6 3 4 4 2 6 5 4 3 6 4 6 5 5 6 4 6 5 4 2 4 4 4 4 3 6 5 4 4 3 4 4 4 4
## [53425] 3 4 2 4 3 5 2 5 2 5 1 3 4 6 2 6 6 2 5 4 1 4 2 4 2 3 3 4 5 5 6 5 4 5 4 4
## [53461] 3 5 5 4 6 4 6 4 1 4 6 3 4 5 3 3 4 2 4 1 4 6 4 6 4 2 5 3 5 6 3 3 5 6 4 4
## [53497] 3 5 3 2 3 5 6 6 5 4 2 2 4 5 6 3 3 1 6 4 4 3 4 5 3 5 4 2 6 5 4 4 2 4 1 5
## [53533] 2 3 4 4 3 4 6 3 4 3 2 2 3 2 3 4 5 6 5 6 2 4 2 5 3 3 2 4 6 5 3 6 2 4 4 6
## [53569] 3 2 5 5 6 5 5 5 4 4 4 2 2 5 5 4 6 4 6 6 3 4 3 4 4 5 6 5 6 5 2 4 3 4 3 5
## [53605] 3 2 3 3 6 4 5 4 6 2 4 6 4 3 3 5 5 6 3 1 6 6 3 3 6 5 3 2 5 2 4 3 3 4 5 4
## [53641] 4 6 4 5 3 2 3 4 4 5 5 3 1 1 6 5 6 6 3 6 1 5 4 2 4 2 3 2 2 2 4 4 3 2 3 3
## [53677] 5 3 4 6 5 2 6 4 1 4 6 4 3 2 5 5 2 5 3 3 2 5 3 2 1 5 5 4 3 2 4 3 5 6 6 6
## [53713] 4 4 4 5 2 4 2 4 3 2 5 3 3 5 3 4 4 5 4 5 6 4 1 2 5 2 5 4 1 4 5 6 3 5 4 5
## [53749] 4 6 1 2 4 4 5 2 4 5 6 4 4 4 5 1 3 2 3 3 6 5 4 4 4 4 4 5 2 5 4 5 5 6 5 6
## [53785] 3 3 3 3 6 5 3 5 4 6 6 2 4 5 6 3 5 1 2 4 5 4 3 4 3 4 4 4 4 6 4 4 3 4 1 3
## [53821] 3 3 4 4 4 3 4 4 2 2 6 6 6 4 3 3 5 5 4 3 3 4 5 4 2 4 2 5 2 4 3 2 5 4 1 6
## [53857] 6 5 3 1 6 5 2 5 5 6 3 5 5 4 6 3 1 3 4 4 6 4 3 5 4 2 6 1 4 3 6 4 4 3 3 4
## [53893] 4 3 2 4 4 6 2 3 2 3 5 4 5 4 4 4 2 6 3 5 1 2 3 3 3 4 4 5 4 3 3 6 6 4 3 5
## [53929] 2 4 5 6 6 5 2 6 5 4 6 6 4 3 4 4 5 4 4 4 4 5 4 4 2 2 2 6 4 1 2 3 3 2 4 5
## [53965] 1 3 5 4 6 2 1 4 5 2 4 4 2 4 4 2 6 4 6 2 2 5 5 4 2 4 4 5 4 3 3 6 5 1 4 3
## [54001] 1 2 6 5 3 3 4 2 2 4 4 5 5 2 3 6 2 4 5 6 4 2 4 5 4 4 2 4 2 2 4 2 6 6 4 6
## [54037] 4 4 5 4 2 4 3 4 4 1 5 5 4 4 3 2 3 6 2 2 4 2 4 5 5 3 1 2 3 2 6 1 6 6 3 1
## [54073] 3 4 5 4 4 4 4 6 3 5 2 4 3 4 4 6 3 5 6 2 6 2 3 4 4 6 5 5 2 4 6 5 4 4 1 5
## [54109] 5 1 1 5 3 3 2 4 5 4 5 4 3 6 4 4 4 6 4 4 4 5 6 4 5 5 3 5 4 4 3 6 3 6 3 6
## [54145] 3 3 4 4 3 4 5 2 5 5 6 6 4 2 4 4 3 6 3 6 4 2 4 4 3 5 3 4 2 2 2 6 3 3 4 5
## [54181] 5 5 6 5 4 4 4 2 4 6 2 5 5 6 4 6 2 4 4 3 1 4 6 5 5 3 4 6 5 6 4 4 4 4 3 5
## [54217] 4 2 2 2 4 3 3 4 3 4 5 6 4 4 1 3 6 5 3 4 3 3 4 5 3 5 3 4 5 4 3 3 4 5 4 4
## [54253] 2 6 4 4 2 4 2 5 4 2 4 4 6 4 4 1 6 4 2 6 2 2 1 5 6 4 6 4 2 3 6 3 4 2 5 3
## [54289] 2 1 5 6 3 4 4 6 3 5 2 2 5 4 5 5 6 6 4 5 6 3 4 5 3 6 6 2 2 4 6 4 4 5 6 4
## [54325] 2 6 4 4 2 4 5 4 4 2 2 4 4 5 3 5 6 3 5 6 4 4 4 4 4 1 5 6 1 5 3 4 2 5 4 4
## [54361] 3 4 3 6 2 4 2 3 4 6 4 4 4 5 3 6 4 3 4 4 3 5 1 4 3 5 3 5 5 4 3 4 3 4 6 5
## [54397] 3 4 3 6 3 5 5 2 2 1 3 4 4 5 4 5 4 4 3 3 3 5 4 5 5 2 4 3 1 6 4 5 4 1 3 4
## [54433] 3 3 5 3 6 6 5 5 3 2 4 6 5 3 3 6 4 2 4 3 4 4 5 2 4 3 4 1 4 2 2 2 4 3 4 4
## [54469] 5 2 6 5 4 4 6 4 4 2 4 2 2 5 4 6 6 6 1 1 5 5 4 6 4 4 2 4 3 3 3 6 3 2 4 4
## [54505] 5 5 4 1 4 2 3 4 5 5 2 2 4 4 5 3 2 2 3 4 4 2 3 3 4 4 4 4 3 4 6 4 6 4 5 4
## [54541] 5 3 4 4 3 5 5 6 5 5 4 4 2 2 3 2 4 6 5 6 5 4 5 2 5 5 6 5 3 3 4 4 5 5 3 4
## [54577] 4 3 2 5 6 5 3 4 5 1 4 2 3 3 2 2 4 3 4 3 4 4 3 4 4 4 5 3 3 2 2 4 5 3 2 2
## [54613] 3 2 4 3 5 2 3 3 1 4 2 5 3 2 6 4 5 4 5 4 6 5 3 2 6 4 4 6 2 4 4 4 3 4 4 5
## [54649] 3 4 5 4 6 6 6 4 1 3 1 2 4 4 2 4 2 4 2 6 5 4 5 4 5 5 5 5 3 6 6 3 4 4 4 4
## [54685] 4 6 5 4 5 4 3 4 6 4 3 4 2 5 2 4 4 5 5 3 4 2 6 5 6 6 3 3 4 4 5 4 4 5 4 2
## [54721] 2 4 3 6 5 5 6 5 4 3 4 5 6 5 2 4 3 6 2 3 4 4 4 2 1 4 6 4 5 3 4 4 4 2 2 2
## [54757] 3 3 4 3 5 5 5 3 3 3 4 5 3 4 4 6 4 2 4 4 4 4 3 3 3 2 4 2 4 4 2 2 4 3 4 4
## [54793] 4 2 4 5 4 3 5 2 4 4 4 4 5 6 6 5 3 6 4 3 4 4 5 2 5 2 2 4 6 3 3 4 4 3 4 6
## [54829] 4 5 3 5 5 6 4 3 4 3 3 4 4 3 4 6 6 4 3 6 3 2 5 5 4 3 4 5 4 4 5 5 4 4 1 4
## [54865] 4 2 2 4 3 2 3 1 2 5 4 6 2 1 2 4 3 2 3 4 4 4 3 5 3 5 5 2 4 3 4 5 6 4 5 2
## [54901] 2 5 2 5 4 3 5 6 2 3 4 6 4 2 5 5 5 5 4 4 4 2 2 1 1 3 4 5 3 5 5 3 2 4 6 2
## [54937] 6 3 4 5 2 4 4 6 4 4 3 4 5 4 4 2 3 4 3 3 2 2 4 4 3 6 4 1 6 5 3 1 5 4 5 4
## [54973] 2 4 3 2 6 2 4 4 3 5 3 4 3 3 3 6 5 4 2 5 1 4 4 4 4 3 4 5 4 6 2 4 5 1 3 1
## [55009] 6 1 4 4 6 4 4 2 6 4 4 4 6 5 2 5 6 2 4 2 4 2 2 4 2 5 2 3 2 5 6 4 5 4 3 4
## [55045] 6 4 3 6 2 4 6 4 4 4 3 4 2 4 3 5 4 2 6 5 3 2 6 4 5 5 4 3 2 5 2 6 5 4 3 6
## [55081] 3 4 5 1 5 3 3 3 3 5 4 5 3 5 6 4 4 4 3 3 4 1 5 3 5 4 4 5 3 5 4 3 5 3 4 4
## [55117] 4 5 4 4 4 3 2 4 4 5 2 4 4 4 4 4 6 4 5 3 4 4 4 4 5 5 4 3 3 2 1 4 3 3 6 5
## [55153] 5 2 3 4 5 4 2 3 2 4 4 4 2 6 5 6 1 3 4 6 6 6 4 5 5 5 4 1 4 4 4 4 5 2 5 5
## [55189] 4 5 2 4 4 4 5 5 3 1 6 6 2 5 2 2 2 6 3 1 4 4 4 3 3 3 4 2 3 6 2 6 4 5 4 4
## [55225] 4 4 6 6 4 4 4 4 3 5 4 6 3 3 4 3 4 4 3 3 5 6 4 2 4 3 6 4 4 5 3 2 4 2 4 4
## [55261] 5 5 3 3 3 4 4 4 4 4 5 5 3 5 4 4 1 3 2 5 2 4 2 3 4 1 4 6 4 4 4 1 2 4 1 3
## [55297] 5 4 1 6 1 5 6 6 1 6 5 3 4 4 3 2 3 3 3 4 3 3 3 3 5 3 4 3 2 4 2 3 4 2 4 5
## [55333] 4 4 4 3 1 2 4 4 3 4 3 4 2 5 3 2 6 3 6 2 4 6 2 4 3 4 6 5 5 4 2 5 5 2 3 2
## [55369] 5 5 6 4 4 5 3 3 5 4 4 4 4 6 5 6 4 4 4 2 4 4 6 4 6 1 2 5 4 2 6 2 3 2 3 4
## [55405] 1 1 6 4 2 5 5 2 6 1 4 5 5 5 3 4 4 2 3 3 2 4 5 2 3 2 4 2 5 3 5 3 4 5 6 4
## [55441] 3 4 4 5 3 5 5 2 1 6 3 3 6 4 4 3 5 2 2 4 3 4 5 3 4 3 2 4 5 2 2 3 5 3 4 2
## [55477] 3 4 5 4 6 5 2 5 5 4 2 4 3 6 3 6 2 4 5 5 4 4 2 5 5 6 3 3 3 4 6 6 6 4 6 2
## [55513] 6 1 4 4 3 5 3 4 3 3 4 3 2 6 4 5 3 3 6 4 4 6 2 5 6 3 6 4 2 2 4 6 5 1 5 3
## [55549] 5 2 3 2 5 4 3 4 2 5 5 5 3 6 5 5 4 4 4 4 4 5 3 6 4 6 1 4 2 3 4 5 1 4 4 1
## [55585] 5 6 5 4 4 6 4 3 4 3 4 4 4 3 3 3 4 3 2 4 3 4 3 4 3 4 4 5 2 6 2 6 4 3 3 5
## [55621] 5 3 5 4 6 3 6 3 4 4 4 6 3 6 4 4 2 2 3 5 5 4 2 3 4 2 4 1 4 1 4 2 6 3 3 3
## [55657] 2 4 5 4 3 3 3 5 4 5 4 4 6 4 4 4 4 5 3 3 4 4 2 2 2 5 3 4 6 5 3 5 5 4 5 2
## [55693] 4 6 6 4 3 3 4 4 6 6 6 2 4 6 4 2 6 2 5 4 3 4 2 4 5 2 4 6 5 3 4 4 2 3 5 4
## [55729] 5 2 3 1 4 6 4 5 5 1 6 6 3 3 3 6 2 5 4 2 4 3 2 3 2 4 2 5 6 1 4 2 6 4 5 4
## [55765] 6 4 4 4 4 4 5 2 2 3 4 4 4 2 1 4 4 5 2 5 4 4 2 3 3 4 4 1 4 2 4 6 1 5 6 2
## [55801] 4 3 4 1 4 5 6 4 4 4 4 3 6 2 2 4 5 4 5 5 6 1 2 3 4 5 1 3 4 1 6 6 4 6 5 4
## [55837] 6 3 3 4 3 2 1 4 5 4 5 6 6 3 3 5 1 6 6 6 6 3 5 4 5 2 2 4 2 3 2 3 4 4 5 4
## [55873] 6 4 4 4 4 3 5 5 5 1 6 5 5 6 4 3 4 5 5 3 4 4 3 4 3 2 5 3 4 5 5 4 3 2 4 5
## [55909] 5 4 4 5 2 5 3 6 4 2 6 1 4 6 1 4 3 3 3 4 4 5 2 1 4 6 5 4 1 3 2 4 6 4 3 3
## [55945] 4 6 4 3 3 6 4 6 3 5 6 4 4 5 4 3 6 4 5 5 4 5 3 6 3 5 4 4 3 5 4 5 5 4 3 3
## [55981] 6 5 6 6 3 2 6 1 2 4 3 3 5 4 5 6 3 3 3 5 6 4 3 2 6 5 4 4 5 4 6 5 4 3 4 6
## [56017] 5 4 2 5 4 2 2 2 2 4 2 5 1 4 4 4 3 2 4 4 5 3 1 2 4 4 2 3 5 6 3 6 4 4 4 6
## [56053] 3 3 2 2 6 5 5 6 3 4 6 3 3 5 4 3 6 4 2 4 6 5 3 4 1 6 5 1 2 4 5 6 2 3 4 2
## [56089] 2 5 5 3 4 4 3 5 6 5 2 2 2 4 5 4 4 4 4 3 3 2 4 3 2 3 4 6 6 6 3 4 4 6 5 5
## [56125] 4 6 3 3 6 5 3 3 4 4 4 6 3 6 4 2 2 4 4 6 2 5 6 4 6 6 6 2 5 2 6 4 4 4 1 4
## [56161] 2 4 2 1 2 5 2 3 3 4 4 5 2 2 4 4 5 5 3 6 5 4 4 5 2 5 3 3 5 5 5 4 6 1 3 5
## [56197] 4 5 4 4 6 3 6 4 3 3 6 3 3 6 3 3 4 2 6 3 5 4 2 3 1 4 5 1 2 3 5 3 4 3 2 3
## [56233] 6 3 5 3 6 6 4 4 4 6 5 3 5 1 3 2 1 1 2 3 6 4 5 6 4 3 4 3 3 3 4 1 3 4 4 5
## [56269] 5 4 4 3 4 4 4 5 1 5 3 3 1 3 6 6 4 5 4 3 4 2 4 6 4 4 6 4 2 5 2 4 2 2 5 4
## [56305] 6 6 6 4 4 2 5 3 3 6 2 4 2 4 4 3 2 2 6 4 4 4 3 6 1 5 4 4 2 2 2 4 3 4 6 2
## [56341] 4 6 5 2 2 4 3 4 6 4 4 3 4 1 3 3 2 2 2 6 5 6 4 4 4 1 4 1 4 2 3 3 5 1 5 6
## [56377] 3 4 4 4 6 3 4 4 2 3 4 4 5 4 4 4 4 5 2 5 6 4 5 4 1 4 4 1 3 6 4 3 1 5 3 6
## [56413] 6 1 6 5 5 4 4 2 2 4 1 2 4 3 2 3 4 3 5 4 3 4 4 3 5 3 4 3 4 1 3 3 6 5 5 4
## [56449] 2 4 2 2 5 4 4 1 4 3 3 4 3 3 4 2 4 5 3 4 6 6 3 1 4 6 2 2 3 2 3 3 6 3 5 4
## [56485] 5 4 5 1 5 3 3 2 5 4 3 2 3 3 2 5 1 5 2 4 6 4 4 3 2 5 6 4 2 3 3 2 4 2 4 5
## [56521] 3 5 6 4 4 4 3 4 2 2 3 1 3 4 4 5 4 6 4 3 3 4 4 5 6 2 4 2 3 4 5 3 3 6 6 5
## [56557] 5 2 1 2 5 3 4 5 3 4 3 4 5 6 3 5 6 1 4 4 3 6 2 2 4 6 3 2 2 2 1 4 4 4 3 2
## [56593] 2 6 3 3 2 2 6 2 6 4 3 4 3 3 4 3 5 3 4 4 3 4 3 3 3 3 3 5 1 4 1 5 5 5 4 3
## [56629] 2 4 3 4 3 6 3 6 2 3 3 2 3 4 3 1 5 3 4 4 2 3 4 4 3 4 4 3 4 5 5 6 4 3 2 6
## [56665] 3 5 6 2 6 4 4 1 1 2 4 5 2 2 4 4 3 4 4 4 3 2 2 2 5 4 3 2 3 2 4 6 3 6 5 5
## [56701] 6 1 2 4 4 4 3 3 6 4 3 6 2 4 4 2 2 5 6 5 5 5 4 5 2 2 2 5 4 5 5 4 4 3 3 4
## [56737] 6 4 4 4 2 2 2 1 6 6 3 6 3 4 4 3 5 5 4 5 3 4 6 4 3 4 6 6 1 4 5 4 4 4 4 4
## [56773] 2 5 5 4 3 4 6 3 6 5 4 5 4 2 6 5 4 2 3 3 2 3 6 4 3 3 3 4 1 3 4 2 3 3 4 6
## [56809] 4 5 4 4 2 2 4 1 2 2 3 6 4 4 4 4 4 2 3 3 3 6 3 4 3 3 5 6 3 3 4 5 4 6 5 6
## [56845] 4 4 3 2 2 2 4 2 4 3 3 3 4 6 4 3 6 4 2 4 5 4 6 3 3 4 4 3 4 3 2 3 4 6 5 5
## [56881] 5 5 1 4 2 1 5 4 3 5 6 4 5 6 6 6 5 5 4 5 2 6 3 6 5 5 6 5 4 4 5 2 2 5 2 3
## [56917] 5 6 4 3 1 2 3 3 3 6 6 3 4 5 2 4 3 3 4 3 5 6 2 4 3 3 1 6 5 5 4 3 3 3 2 4
## [56953] 4 4 4 3 4 4 3 4 3 1 2 4 5 4 4 3 3 6 5 4 4 2 4 6 1 6 1 1 4 1 5 3 2 3 4 2
## [56989] 2 5 4 5 3 4 3 6 6 3 4 3 1 2 2 4 5 3 5 3 4 4 4 4 4 3 3 3 6 6 5 5 4 4 4 2
## [57025] 6 2 3 4 3 2 5 3 4 6 4 4 4 2 5 3 3 4 5 5 3 3 2 3 4 4 5 6 3 4 2 5 5 4 4 2
## [57061] 3 3 2 3 5 6 4 6 4 1 3 4 4 5 5 3 5 4 3 4 4 3 4 3 3 1 4 5 4 2 4 3 3 3 4 5
## [57097] 2 2 6 4 4 4 5 4 3 5 2 5 3 5 2 6 5 4 4 3 4 5 4 5 6 3 4 3 4 3 4 4 4 6 2 2
## [57133] 4 4 2 4 3 3 2 4 3 4 4 4 2 5 4 6 4 4 4 6 3 5 4 4 6 5 2 4 3 3 2 4 3 2 4 4
## [57169] 5 4 4 3 2 5 3 4 1 6 3 6 4 4 5 4 4 2 4 3 6 4 5 1 6 2 3 4 4 6 5 2 4 2 4 6
## [57205] 4 4 6 4 2 5 6 4 6 4 4 3 2 5 6 4 2 5 1 5 6 6 6 5 4 5 1 3 3 6 4 4 2 6 3 2
## [57241] 4 4 5 4 3 5 4 5 5 4 4 1 2 3 3 3 4 2 4 6 4 4 4 6 6 2 5 3 3 3 3 5 5 2 2 5
## [57277] 2 6 6 6 5 3 3 5 6 3 4 6 4 5 1 3 3 3 4 5 4 4 4 3 5 4 5 4 5 1 2 5 4 4 4 4
## [57313] 4 1 2 1 4 6 5 2 2 6 4 2 5 5 3 6 5 3 4 4 3 1 4 4 2 4 4 4 4 4 4 3 3 4 3 3
## [57349] 5 6 4 3 3 5 5 1 6 2 6 4 5 6 4 3 1 2 3 2 2 4 1 2 1 6 4 3 6 5 4 5 4 4 5 4
## [57385] 4 4 2 4 5 5 2 6 5 4 2 3 6 4 3 4 4 4 3 6 3 4 5 4 5 3 2 2 5 4 4 3 4 2 4 4
## [57421] 5 3 2 4 6 6 3 4 4 2 3 4 5 6 5 4 5 3 2 3 3 3 1 3 5 1 4 4 1 4 6 4 4 4 2 6
## [57457] 3 4 2 4 1 4 3 3 5 3 5 4 2 2 4 2 4 4 4 3 5 3 4 1 4 5 3 5 4 5 5 1 3 5 4 3
## [57493] 4 3 5 4 6 2 5 2 2 4 4 3 4 3 6 2 2 2 2 6 4 2 3 4 3 6 5 4 2 4 5 2 4 6 5 6
## [57529] 3 3 6 4 4 5 6 6 4 5 1 1 5 1 2 3 4 3 4 6 5 3 2 5 5 4 4 3 5 6 3 5 3 2 3 4
## [57565] 4 2 1 2 4 4 4 3 5 5 3 3 3 5 4 4 4 3 4 5 3 4 6 3 3 6 4 2 5 4 6 2 4 4 4 3
## [57601] 3 4 3 4 4 5 5 2 6 3 6 4 2 2 3 6 4 5 4 5 6 4 3 3 2 2 6 6 6 6 4 6 6 6 2 2
## [57637] 3 3 5 4 5 5 6 3 3 4 6 6 4 4 3 6 4 5 2 4 4 4 4 5 6 4 2 5 2 5 4 5 6 1 5 4
## [57673] 4 6 4 3 4 2 4 6 4 6 4 3 5 4 5 4 3 6 4 5 4 6 2 2 1 3 4 4 3 6 4 2 3 3 6 4
## [57709] 4 1 2 4 4 2 3 4 4 4 3 3 2 6 4 4 2 4 5 3 5 4 5 2 3 4 4 3 5 1 3 6 4 4 6 2
## [57745] 4 4 4 4 5 5 4 2 1 2 4 3 4 4 3 5 4 6 4 4 3 1 5 6 4 4 3 5 3 4 6 4 4 3 5 4
## [57781] 3 6 6 4 2 4 5 3 2 4 6 1 1 4 2 6 6 1 3 2 5 4 3 3 4 5 4 3 1 4 3 2 5 4 6 5
## [57817] 4 5 6 5 4 5 4 2 3 3 3 6 4 2 3 2 5 3 4 4 4 6 3 2 1 6 5 4 4 4 4 2 2 2 4 5
## [57853] 1 3 5 2 2 4 3 2 2 3 5 4 5 2 6 6 5 5 4 5 4 4 3 4 2 5 5 3 5 5 4 5 2 2 3 4
## [57889] 3 5 3 3 4 3 4 4 4 4 3 2 5 2 1 2 3 3 3 6 4 4 3 5 6 4 3 2 3 5 4 4 3 3 4 6
## [57925] 4 5 4 2 2 5 2 3 6 4 3 4 2 2 4 5 2 4 2 3 3 6 4 5 4 4 2 3 4 3 3 4 2 2 5 4
## [57961] 5 3 5 3 4 2 3 4 3 4 3 4 6 5 4 5 4 6 6 3 4 6 3 1 4 2 5 5 3 3 2 2 4 4 6 4
## [57997] 4 5 6 2 2 3 4 4 4 4 1 6 2 4 4 3 4 5 6 6 6 4 3 6 4 4 5 6 5 3 4 3 3 5 3 1
## [58033] 6 1 6 3 6 6 1 4 4 5 4 3 6 2 3 4 5 4 5 4 6 3 6 4 2 2 2 4 4 2 3 3 3 4 4 4
## [58069] 3 5 4 2 3 4 1 5 5 3 4 2 3 4 4 4 4 5 3 2 3 3 1 1 3 1 3 4 6 4 5 4 4 2 2 2
## [58105] 4 5 4 1 5 6 2 2 5 5 4 2 4 4 4 3 2 4 3 3 5 2 4 5 3 3 5 3 4 1 6 5 4 4 4 4
## [58141] 2 5 4 2 3 4 4 5 4 3 6 6 4 5 5 3 5 4 2 6 1 4 4 4 6 4 4 2 4 4 5 4 6 3 6 3
## [58177] 6 5 3 3 4 4 3 3 4 4 3 2 2 2 4 4 2 2 5 2 4 3 4 6 3 2 4 3 2 4 3 5 2 3 4 1
## [58213] 2 5 4 3 4 4 4 4 2 4 5 2 5 1 1 5 5 5 3 4 6 3 5 3 5 2 3 5 6 5 2 4 4 5 2 6
## [58249] 6 6 5 6 3 4 4 5 4 5 4 3 5 6 1 1 2 4 1 3 6 6 2 3 6 5 2 3 5 6 5 4 4 2 1 4
## [58285] 4 1 4 2 4 4 6 2 4 5 3 3 2 4 2 4 4 4 2 2 4 4 3 2 4 5 3 5 4 3 4 3 3 4 2 3
## [58321] 4 2 4 4 5 2 4 3 2 2 4 3 6 2 4 4 5 5 2 4 4 6 4 2 5 6 5 3 3 2 4 4 1 6 3 2
## [58357] 5 5 3 6 2 4 2 5 6 2 5 5 6 2 4 4 3 4 3 4 5 2 3 4 5 4 2 5 4 6 4 6 1 4 6 4
## [58393] 4 4 6 4 4 4 3 4 6 6 4 1 4 6 4 1 1 4 3 3 2 4 6 2 5 4 2 4 4 4 3 3 5 4 2 5
## [58429] 3 2 4 4 2 4 4 4 2 5 1 3 5 3 6 3 3 6 4 5 4 1 6 6 4 5 3 3 3 3 3 4 2 4 4 4
## [58465] 6 4 3 3 4 2 5 4 3 4 4 4 4 2 4 6 3 6 3 4 6 6 4 4 6 4 4 1 1 5 4 6 4 4 6 4
## [58501] 5 6 2 6 3 3 4 2 4 6 4 5 6 4 4 3 4 1 3 4 4 4 5 1 6 5 6 3 2 2 4 4 4 5 2 5
## [58537] 2 1 2 3 4 5 6 4 5 4 3 4 6 4 4 4 4 3 3 4 2 4 2 2 2 2 4 6 4 4 5 4 6 6 3 2
## [58573] 6 3 5 3 4 3 6 2 5 4 6 2 3 4 2 5 6 3 5 1 6 3 2 2 2 4 6 5 2 5 5 5 6 3 2 3
## [58609] 6 1 2 2 4 4 2 3 3 2 3 4 4 3 4 5 3 4 3 4 2 2 5 2 4 6 5 3 4 5 2 2 4 5 4 5
## [58645] 3 3 2 1 5 3 6 5 3 4 2 2 4 3 2 2 4 2 3 3 2 2 4 5 5 6 2 3 4 2 4 5 5 2 5 3
## [58681] 4 6 4 4 2 4 5 4 6 4 5 5 3 6 4 3 4 4 6 4 5 6 4 4 4 4 3 5 3 4 2 5 6 4 4 5
## [58717] 5 5 3 2 2 3 5 4 2 5 2 5 6 4 2 4 2 2 4 3 3 1 2 6 3 4 2 1 5 5 5 1 2 4 4 4
## [58753] 6 5 3 3 5 3 3 5 1 6 2 2 4 3 3 6 3 6 2 3 5 3 5 3 4 3 4 3 6 5 6 4 4 3 4 2
## [58789] 2 6 5 5 2 2 4 6 6 6 1 4 2 3 5 6 5 2 4 4 6 4 3 2 3 3 5 5 6 3 2 1 2 4 3 6
## [58825] 6 5 4 4 5 5 4 6 5 3 4 2 4 1 5 3 4 2 3 6 3 4 1 5 4 4 2 4 5 4 2 5 2 4 3 3
## [58861] 3 5 3 3 2 4 2 4 3 4 5 6 4 1 4 3 4 4 4 3 3 4 3 4 3 1 4 5 4 6 2 3 4 4 3 1
## [58897] 4 3 5 6 5 5 2 4 3 3 3 4 2 2 4 2 3 3 5 6 4 6 5 5 6 1 1 4 6 2 4 4 2 3 6 3
## [58933] 4 4 5 4 2 4 2 1 4 2 4 2 6 1 3 3 6 5 4 4 4 4 2 2 2 4 2 4 4 5 2 4 2 2 3 4
## [58969] 4 3 5 4 2 2 4 5 3 6 4 4 4 6 4 2 5 4 5 5 3 6 5 5 2 6 1 4 5 6 2 5 2 4 4 4
## [59005] 4 1 2 5 6 4 2 4 2 2 3 3 1 2 1 1 4 4 3 5 4 5 2 3 6 3 2 6 2 6 3 3 6 4 4 1
## [59041] 3 3 3 4 4 3 6 3 1 4 3 2 4 5 6 5 2 1 3 5 2 6 5 5 3 6 6 5 5 2 5 5 2 4 2 4
## [59077] 5 6 1 3 5 6 6 4 3 3 5 3 2 4 5 2 6 5 5 4 3 4 3 3 4 2 3 5 6 2 4 2 3 3 2 5
## [59113] 6 4 5 6 2 3 2 2 6 4 4 2 3 4 3 4 4 3 2 4 4 2 2 4 6 4 4 2 4 4 6 3 5 6 1 5
## [59149] 3 4 5 6 2 3 5 2 4 4 6 4 1 2 5 5 2 3 1 5 5 1 3 4 6 3 4 3 4 4 5 2 3 3 4 3
## [59185] 4 6 5 5 3 5 2 6 5 4 6 4 3 6 3 4 6 4 5 2 3 6 1 4 5 4 5 2 4 4 2 4 6 2 3 2
## [59221] 4 3 2 5 3 2 4 2 6 2 3 1 1 6 2 4 6 6 4 4 4 3 4 5 5 1 2 4 4 3 5 2 1 6 6 2
## [59257] 6 4 2 3 4 5 4 3 3 4 5 5 4 4 6 4 4 2 3 3 3 3 4 6 6 2 6 3 3 5 4 3 2 3 5 4
## [59293] 2 2 2 5 2 4 4 1 3 6 1 3 4 5 3 5 4 3 2 1 4 3 4 4 6 6 5 4 6 4 6 3 4 4 4 3
## [59329] 5 4 5 4 3 6 4 4 4 5 3 4 6 4 3 3 4 4 2 5 6 4 6 3 4 6 4 2 3 5 5 1 4 4 4 6
## [59365] 4 6 6 3 6 2 4 5 4 3 5 1 4 4 2 4 2 2 2 3 6 5 4 4 3 3 3 4 2 2 6 6 5 4 2 4
## [59401] 3 1 5 5 4 4 3 4 6 5 4 4 2 4 4 6 4 6 5 5 4 1 5 4 5 4 6 6 4 5 4 2 5 3 2 4
## [59437] 2 2 1 3 2 4 6 5 3 4 3 2 1 4 6 4 5 3 6 4 6 5 2 3 4 4 6 2 3 5 3 6 3 6 1 4
## [59473] 3 2 4 3 3 4 4 4 5 2 4 4 1 3 4 4 6 2 4 5 6 5 5 6 6 5 6 3 4 5 6 4 2 3 2 5
## [59509] 4 4 2 3 6 3 5 6 4 5 6 4 2 4 4 1 6 3 5 4 4 6 4 4 3 5 5 5 4 3 4 4 3 6 5 4
## [59545] 6 2 6 3 5 4 1 5 6 5 2 6 4 4 5 3 5 1 6 3 4 5 4 5 4 6 2 6 3 4 2 4 4 3 3 4
## [59581] 4 6 5 4 3 4 4 4 4 6 4 6 6 4 3 4 4 5 1 4 3 6 5 6 3 6 3 4 6 4 3 4 6 4 3 3
## [59617] 4 6 6 3 4 3 4 3 2 3 5 6 4 4 1 4 2 5 5 3 4 4 3 6 4 4 3 5 5 1 5 5 1 5 2 5
## [59653] 5 3 3 4 5 6 5 1 4 4 5 2 5 6 5 4 1 4 5 3 2 2 3 5 3 4 4 2 3 3 4 4 4 4 3 4
## [59689] 2 4 6 3 3 6 4 3 4 3 3 5 4 5 6 4 6 4 4 6 4 4 4 4 5 4 2 3 4 2 6 5 3 6 2 3
## [59725] 3 2 4 4 6 3 2 6 6 4 3 4 3 5 3 2 5 2 3 3 2 5 4 6 3 5 6 2 6 4 6 4 2 2 6 3
## [59761] 4 4 3 1 3 4 4 4 4 4 2 5 3 3 3 4 5 4 6 4 6 4 4 6 3 3 4 5 5 4 4 5 1 3 4 4
## [59797] 5 3 4 2 6 2 2 6 5 6 3 6 6 1 6 4 4 3 5 2 2 3 5 4 2 3 3 5 6 6 2 4 4 3 5 5
## [59833] 4 3 1 6 3 3 4 6 5 4 3 4 4 3 2 6 4 5 5 3 3 2 3 4 5 4 5 4 4 2 5 4 4 4 6 5
## [59869] 3 3 4 5 3 5 6 5 5 4 4 2 5 6 5 4 4 4 4 2 4 4 6 6 6 6 3 6 6 1 3 6 1 4 3 3
## [59905] 3 2 1 1 2 6 4 2 4 4 5 2 3 3 3 4 4 3 2 4 4 1 6 4 3 4 6 4 5 2 3 2 5 4 4 4
## [59941] 3 2 2 5 3 4 4 6 3 2 5 3 4 2 4 2 4 2 4 5 2 4 4 4 1 2 5 5 3 5 5 6 6 3 3 5
## [59977] 4 1 4 6 4 3 6 5 3 4 3 5 4 2 3 4 3 4 4 4 5 3 3 3 6 5 3 4 4 3 4 5 4 3 5 1
## [60013] 2 5 5 4 3 3 2 4 5 6 3 5 2 3 2 3 4 4 1 2 4 3 6 6 2 2 2 2 3 4 3 2 5 6 6 5
## [60049] 1 3 5 6 4 1 5 4 4 2 4 4 3 3 2 3 4 1 4 6 4 2 6 4 6 3 6 5 3 4 4 2 4 4 6 2
## [60085] 4 3 2 4 3 3 4 5 3 5 5 2 6 4 3 3 3 3 4 6 5 5 6 5 1 5 6 5 5 3 3 5 4 2 2 2
## [60121] 6 5 4 4 3 5 4 3 1 2 3 5 5 1 4 5 3 2 6 5 2 2 3 4 4 4 3 4 3 6 5 6 6 5 4 5
## [60157] 2 4 1 6 1 4 4 5 5 4 2 5 3 3 4 2 3 3 6 5 3 3 4 5 6 4 4 3 5 6 6 5 6 5 6 5
## [60193] 6 3 4 1 2 5 2 4 2 3 4 2 3 3 2 1 3 2 4 4 1 3 4 3 3 5 6 6 4 6 3 4 2 4 4 4
## [60229] 2 4 4 2 3 4 3 2 3 5 2 5 4 2 3 4 5 2 3 5 3 6 4 5 3 6 3 3 4 5 5 3 6 5 6 4
## [60265] 1 5 5 4 3 6 4 1 5 3 4 1 6 6 1 3 3 1 4 2 5 3 4 6 4 4 4 6 3 4 6 5 1 2 6 3
## [60301] 4 4 5 2 2 4 4 5 6 2 5 4 6 3 4 4 1 5 3 6 6 6 3 3 6 2 5 4 3 1 2 4 4 4 6 4
## [60337] 1 3 6 6 4 3 2 3 4 3 5 4 2 6 2 5 6 5 4 4 5 3 5 4 6 5 2 5 5 1 4 2 1 2 2 4
## [60373] 4 6 4 3 4 4 5 2 5 6 3 1 2 6 3 6 5 2 2 4 6 5 6 3 4 3 5 5 5 2 3 6 4 4 4 2
## [60409] 6 2 4 1 2 3 2 3 3 4 4 4 3 4 5 3 6 6 2 1 5 2 3 1 2 4 1 4 4 4 3 4 3 3 2 5
## [60445] 5 1 3 5 3 2 5 4 3 4 5 4 5 6 3 1 5 5 5 3 3 6 6 6 6 5 4 5 4 3 5 5 4 6 4 4
## [60481] 5 3 2 4 2 2 4 3 4 3 6 2 6 5 6 4 4 6 6 2 6 4 4 1 6 4 3 2 2 3 6 6 4 4 1 4
## [60517] 2 4 4 6 5 5 4 5 4 5 2 6 5 4 2 3 4 5 3 4 2 5 2 1 5 3 4 4 5 5 5 4 4 4 6 2
## [60553] 3 3 4 1 4 6 4 4 4 5 5 6 6 2 2 2 6 6 4 3 4 4 6 4 6 3 6 4 5 1 4 5 4 5 2 4
## [60589] 4 5 3 1 5 4 4 4 3 5 1 1 1 1 5 3 1 6 6 2 6 5 4 4 3 4 4 6 3 5 5 4 1 2 2 2
## [60625] 4 4 3 5 2 2 1 4 3 4 5 4 6 5 3 2 4 6 6 2 2 3 2 5 4 5 3 5 5 2 5 4 2 3 3 2
## [60661] 6 4 2 2 3 6 4 5 6 5 6 6 4 5 4 2 5 2 5 2 4 4 4 5 3 6 6 6 2 5 2 4 2 1 6 5
## [60697] 4 2 4 5 4 4 3 2 3 2 3 6 5 2 6 6 4 1 4 3 4 6 2 6 3 6 4 5 4 6 2 2 1 4 4 4
## [60733] 6 4 6 4 4 2 6 5 5 4 3 6 3 3 1 6 4 5 4 4 3 3 3 5 2 4 2 2 6 3 5 6 1 4 4 4
## [60769] 4 4 3 3 4 5 5 2 4 4 3 2 4 3 3 2 4 6 3 5 2 6 4 5 2 4 3 6 4 6 5 6 1 4 1 2
## [60805] 5 2 5 6 5 3 2 3 4 4 4 4 5 2 1 5 1 5 2 3 5 4 4 5 4 3 1 4 3 3 4 4 2 6 3 2
## [60841] 4 4 4 4 4 6 4 5 3 4 5 2 2 4 6 3 4 4 4 3 4 5 5 1 1 3 6 2 4 6 3 2 4 3 3 4
## [60877] 3 6 2 4 4 6 5 6 4 2 4 4 6 2 3 4 3 2 5 3 4 2 4 4 4 5 5 2 3 4 2 3 3 2 4 4
## [60913] 2 3 6 4 6 6 3 3 5 4 6 6 2 1 3 3 4 4 5 6 3 4 4 2 4 5 6 3 4 4 5 4 5 5 2 5
## [60949] 4 4 5 1 4 6 6 2 3 5 6 4 4 6 5 4 6 5 6 3 2 2 6 4 2 4 6 6 2 6 1 4 2 4 5 6
## [60985] 4 1 2 6 4 2 4 1 3 2 4 2 6 2 6 5 3 6 6 6 5 5 5 5 5 3 2 6 4 3 2 6 4 3 3 4
## [61021] 3 4 3 5 2 6 4 6 2 2 4 3 3 3 3 5 3 4 4 2 5 3 5 4 4 1 6 3 1 6 4 4 5 4 4 3
## [61057] 5 2 4 6 1 4 4 3 4 4 3 4 1 2 2 3 4 3 3 5 6 3 4 3 4 3 4 4 6 6 5 3 4 3 3 4
## [61093] 2 3 2 4 2 4 3 2 1 3 4 3 4 4 3 4 6 5 3 6 4 6 3 3 3 3 4 4 6 6 5 6 3 5 2 5
## [61129] 4 2 4 5 3 6 4 3 5 6 5 5 3 6 6 2 6 6 6 6 1 5 6 5 4 4 2 4 2 2 3 4 4 4 4 3
## [61165] 3 5 2 4 4 5 4 3 5 5 4 5 3 6 2 1 4 2 5 5 3 4 2 4 4 2 5 2 6 3 5 4 4 5 6 3
## [61201] 3 2 4 6 4 4 4 4 3 6 2 5 5 3 4 5 4 4 5 2 4 6 2 4 5 2 3 6 6 4 2 4 5 4 5 3
## [61237] 4 3 3 4 5 4 4 6 4 2 2 2 6 5 3 5 6 3 5 4 5 4 4 4 6 3 5 6 3 2 6 4 2 2 2 4
## [61273] 4 3 2 2 1 5 6 4 6 3 3 4 2 6 4 5 6 3 6 6 4 5 6 2 3 3 2 6 4 4 2 5 2 3 3 4
## [61309] 6 6 4 5 4 4 4 4 3 3 3 2 2 5 4 3 6 2 5 4 2 4 4 4 4 4 4 4 5 3 5 2 2 2 5 3
## [61345] 5 2 2 3 5 4 3 3 6 4 6 3 3 5 2 1 1 4 4 6 6 6 4 4 3 6 3 5 3 4 1 3 3 6 6 3
## [61381] 6 2 5 5 3 4 6 5 4 5 3 4 5 6 2 4 3 3 2 6 2 3 4 2 2 5 3 2 2 1 5 3 1 4 3 4
## [61417] 5 3 6 1 2 6 1 4 5 4 6 3 6 5 4 3 4 2 1 3 4 5 6 3 2 2 4 5 3 6 4 6 4 1 5 2
## [61453] 6 4 3 2 4 6 4 4 6 6 4 3 4 6 4 5 6 4 6 4 3 5 3 5 3 4 3 4 3 5 5 4 2 4 4 5
## [61489] 5 3 2 2 3 4 5 2 6 5 5 1 2 6 4 1 6 6 3 4 6 3 5 2 2 2 4 2 5 6 3 6 3 2 3 4
## [61525] 6 3 3 4 1 4 3 1 4 4 2 4 3 1 6 4 5 4 3 4 1 5 4 1 1 5 4 4 4 4 4 4 6 4 4 3
## [61561] 3 4 6 4 2 4 3 3 6 5 6 3 6 6 6 6 3 5 1 3 5 3 2 2 4 4 4 1 5 2 2 4 2 3 4 2
## [61597] 4 5 3 3 4 4 4 2 4 2 2 3 3 3 3 4 5 1 4 4 2 4 2 6 3 5 4 5 2 4 6 4 4 6 1 4
## [61633] 4 3 6 3 1 6 5 1 6 5 3 4 3 5 2 3 3 3 1 5 5 4 3 5 2 4 5 1 3 3 2 2 6 2 4 3
## [61669] 4 3 3 4 4 3 2 3 2 2 4 4 2 5 4 3 5 3 3 4 3 5 4 4 5 6 5 4 1 6 3 3 3 6 5 1
## [61705] 2 4 3 3 3 3 3 4 1 5 4 6 5 1 1 3 6 4 6 2 4 5 6 6 3 2 4 3 4 2 4 1 2 2 2 4
## [61741] 3 5 5 4 3 2 3 5 4 4 3 6 6 4 4 2 4 4 6 3 3 4 4 5 5 5 6 4 3 3 5 2 6 2 4 5
## [61777] 5 6 5 4 3 5 6 5 2 4 5 1 4 4 5 4 3 3 3 4 4 6 1 4 6 4 4 6 4 2 4 3 5 6 5 3
## [61813] 2 4 4 4 4 1 3 6 3 1 4 6 3 5 5 4 6 4 2 1 4 3 3 3 3 4 1 2 1 3 5 2 2 6 5 6
## [61849] 5 3 5 5 3 4 5 5 4 2 4 4 2 4 3 4 3 6 3 4 6 6 4 6 4 4 6 4 4 4 1 5 6 4 6 4
## [61885] 2 4 5 4 2 3 5 3 6 2 4 5 3 4 6 5 5 5 5 4 2 3 5 3 5 4 4 2 5 2 2 2 4 6 3 4
## [61921] 2 3 2 6 4 5 6 4 4 2 4 4 5 5 4 2 3 5 1 1 6 4 3 4 5 6 4 3 5 5 2 5 1 3 4 3
## [61957] 4 3 4 6 5 6 4 4 5 4 5 1 3 6 6 5 6 6 6 3 2 4 4 3 4 4 4 1 5 4 4 5 3 2 4 5
## [61993] 4 5 3 3 4 4 4 2 4 5 6 3 4 5 3 4 4 3 4 5 2 4 2 6 4 4 5 4 2 5 6 4 4 3 6 5
## [62029] 6 4 5 5 3 4 5 6 2 4 5 4 5 3 6 4 1 5 4 2 5 2 1 2 4 4 4 4 4 5 2 4 4 1 6 5
## [62065] 4 6 5 6 1 5 6 3 2 4 4 4 6 4 4 4 5 4 2 3 3 4 4 4 5 3 5 4 2 4 5 2 2 6 4 3
## [62101] 6 4 3 2 3 4 4 3 4 4 4 4 4 3 3 3 4 3 4 6 2 5 5 5 4 1 4 5 4 2 4 6 2 4 3 5
## [62137] 2 2 4 6 6 3 6 2 5 5 3 3 4 4 3 4 5 1 1 4 4 6 3 3 2 5 6 4 6 4 3 2 4 2 5 4
## [62173] 1 5 4 3 4 2 6 4 4 2 2 5 5 4 2 6 3 6 5 4 2 4 2 4 4 5 1 3 5 3 2 6 2 4 4 4
## [62209] 4 4 3 2 4 4 4 4 2 5 3 2 4 5 2 4 5 5 5 5 1 6 4 4 5 4 6 4 4 1 4 3 5 5 4 2
## [62245] 2 3 4 5 5 5 4 2 5 6 4 3 5 6 4 4 4 2 2 2 5 4 5 4 2 4 4 2 6 3 3 5 4 5 4 6
## [62281] 6 4 1 3 3 4 3 4 6 5 2 4 5 5 4 4 6 3 3 4 2 2 2 4 3 5 5 6 4 3 4 5 4 6 6 4
## [62317] 3 6 1 4 5 1 1 5 2 4 4 5 2 4 3 2 4 4 2 3 5 2 4 1 5 4 3 5 3 5 4 3 2 4 4 3
## [62353] 5 2 4 3 5 3 5 6 5 5 4 4 5 4 4 3 3 3 4 2 3 4 3 3 5 4 3 5 5 2 2 3 5 5 2 3
## [62389] 5 2 3 4 3 6 5 4 1 4 6 4 4 4 1 3 4 2 1 1 6 5 2 3 5 5 3 3 4 4 3 3 5 5 2 3
## [62425] 3 1 4 3 5 5 4 1 5 4 3 4 6 2 3 4 4 6 6 3 5 5 3 5 3 6 3 2 4 4 4 6 2 2 5 3
## [62461] 4 6 3 4 4 4 6 2 3 2 5 2 2 3 6 6 6 1 1 4 6 6 4 6 3 1 4 5 3 4 2 3 4 4 4 3
## [62497] 2 4 4 4 4 5 4 2 3 3 2 3 5 3 3 4 4 2 2 4 6 4 4 2 4 5 4 6 2 3 2 1 6 5 2 6
## [62533] 5 4 6 6 1 3 5 3 5 2 4 4 4 2 4 4 2 3 5 5 1 4 4 3 3 4 5 1 5 4 3 4 2 6 6 5
## [62569] 4 6 5 4 4 3 4 5 1 3 4 4 3 3 5 4 2 2 6 4 6 4 3 1 6 2 4 4 2 4 3 3 4 1 4 3
## [62605] 4 2 2 5 3 4 3 5 5 6 3 4 5 5 2 5 2 2 3 2 4 2 4 5 4 4 2 5 4 4 5 3 4 4 3 5
## [62641] 6 6 4 5 4 6 5 4 3 5 3 5 5 4 2 5 2 5 4 4 2 2 3 2 3 6 5 6 1 3 2 4 4 3 3 4
## [62677] 5 4 5 3 6 4 3 4 4 6 2 2 6 1 2 3 4 4 6 5 4 4 2 4 5 2 2 4 6 6 6 3 6 6 6 4
## [62713] 1 5 3 6 2 4 4 1 6 3 5 4 4 3 4 6 5 6 2 6 2 6 5 1 5 5 2 4 4 2 2 4 2 4 5 6
## [62749] 6 4 2 2 4 5 3 2 4 4 3 4 4 3 2 4 4 4 2 5 4 5 4 5 3 5 3 6 3 3 3 4 2 4 5 6
## [62785] 3 2 3 5 3 4 6 4 4 5 2 4 2 2 2 4 4 3 3 2 3 2 6 6 6 2 5 4 6 5 4 3 1 2 5 5
## [62821] 2 6 2 5 5 5 4 4 6 1 3 2 6 5 5 4 4 4 4 5 2 4 3 3 5 4 6 2 3 4 4 5 4 4 3 4
## [62857] 2 4 3 6 4 5 3 4 4 3 4 3 3 6 4 5 5 5 3 4 2 2 5 3 3 5 1 6 4 3 4 5 4 6 2 5
## [62893] 3 2 3 1 6 5 3 6 4 3 4 4 2 2 6 6 2 5 6 3 6 6 3 6 6 2 5 5 6 2 2 2 3 3 2 3
## [62929] 5 6 2 3 3 4 5 2 6 4 2 5 2 4 4 5 2 5 2 2 6 4 5 6 2 6 3 6 4 5 3 5 4 4 3 2
## [62965] 4 5 2 4 6 3 5 5 4 6 4 6 4 6 4 1 3 4 5 5 2 4 5 2 2 2 1 2 4 5 5 3 6 4 3 1
## [63001] 6 5 2 4 5 6 4 6 3 6 1 3 5 2 2 2 4 2 2 6 5 4 4 5 3 5 5 4 3 4 2 5 5 5 4 2
## [63037] 2 2 4 5 4 1 4 6 2 6 6 6 4 2 4 6 5 2 4 4 5 2 6 4 2 3 6 5 4 4 6 6 6 4 5 4
## [63073] 3 4 6 5 4 3 4 5 2 2 6 2 5 3 4 5 6 4 1 4 3 4 3 5 4 5 4 2 2 4 6 2 4 4 6 4
## [63109] 5 5 4 3 3 4 5 3 4 5 6 1 3 5 4 6 2 6 3 5 3 3 5 2 2 6 6 2 3 3 2 4 4 4 4 2
## [63145] 4 2 4 4 5 3 2 6 2 5 5 5 1 3 6 6 4 3 6 5 6 5 1 3 4 2 6 4 4 5 2 2 3 5 3 2
## [63181] 5 5 4 2 3 5 4 2 4 4 5 3 2 3 5 4 3 5 4 2 3 3 5 6 5 2 5 6 4 5 5 2 4 4 5 4
## [63217] 6 5 4 3 2 2 1 5 4 5 4 4 3 3 3 4 5 5 2 2 4 4 1 2 3 4 3 2 4 4 5 4 6 6 2 1
## [63253] 4 5 4 2 2 1 3 3 6 6 3 2 6 2 3 3 4 3 1 3 5 3 3 3 3 3 3 3 6 5 5 4 6 4 4 4
## [63289] 3 3 2 3 2 1 6 4 6 2 3 4 5 6 1 6 3 2 5 4 4 5 2 4 6 2 3 6 4 5 4 4 4 2 4 6
## [63325] 4 2 3 4 6 5 4 6 6 2 5 3 4 6 2 2 2 3 4 2 4 2 4 1 1 5 4 2 4 5 5 4 1 5 4 4
## [63361] 2 2 2 5 4 4 5 6 5 4 4 4 4 2 3 4 4 3 3 3 4 6 6 3 5 4 6 4 3 4 6 4 4 4 2 1
## [63397] 5 6 5 3 4 4 6 4 6 4 5 5 3 2 4 2 5 6 6 4 4 4 5 2 4 6 5 6 4 6 5 4 3 4 4 2
## [63433] 3 5 6 6 3 6 5 5 4 3 5 2 6 1 2 2 3 6 4 4 6 2 4 3 4 5 4 3 3 3 6 2 4 4 5 2
## [63469] 6 6 3 5 4 3 2 3 3 6 2 1 6 5 3 5 3 4 4 4 4 4 2 3 5 4 4 3 2 3 4 4 6 5 2 5
## [63505] 3 3 2 5 4 4 5 4 5 4 2 4 6 3 6 5 5 5 3 4 6 4 4 3 5 5 4 3 4 4 1 5 3 3 4 5
## [63541] 6 4 2 2 3 4 2 2 3 5 1 2 4 5 5 5 2 1 4 4 6 5 4 4 2 1 6 1 4 6 1 6 5 5 3 6
## [63577] 2 6 4 4 4 5 2 3 4 4 4 5 1 4 3 6 4 4 2 2 2 4 4 5 3 3 4 4 4 3 3 3 3 2 3 2
## [63613] 5 4 4 3 2 5 4 5 4 5 5 4 4 4 2 4 2 4 3 2 4 3 5 1 2 4 5 3 2 1 2 3 5 3 4 4
## [63649] 5 3 1 4 1 4 2 6 5 5 4 2 4 6 2 3 6 3 3 4 6 4 2 4 4 3 1 4 3 6 1 4 4 3 5 3
## [63685] 2 3 2 5 5 4 4 4 2 3 5 4 1 3 4 5 5 6 2 4 1 6 4 4 3 4 4 5 3 4 3 5 6 3 4 3
## [63721] 3 4 3 4 4 3 3 3 6 2 4 4 3 1 4 2 4 5 6 4 4 5 4 4 3 5 2 2 4 3 2 2 2 4 4 5
## [63757] 5 4 4 6 2 5 1 4 4 3 5 4 2 6 6 2 4 4 4 3 6 5 2 4 3 2 4 2 3 4 2 4 2 3 2 4
## [63793] 4 2 3 4 5 6 4 1 1 2 4 4 4 5 1 5 2 2 2 2 4 4 3 4 4 1 4 3 6 3 4 4 1 5 3 3
## [63829] 4 3 2 6 2 5 4 5 1 3 5 5 6 4 2 3 3 4 6 5 3 2 6 3 2 3 4 5 5 4 4 2 2 4 1 2
## [63865] 1 2 4 3 2 2 2 6 4 5 2 2 4 4 6 2 3 4 4 4 2 2 4 3 4 5 4 6 3 4 5 3 6 2 2 4
## [63901] 2 4 3 2 5 6 4 3 6 5 2 1 5 2 2 4 6 6 1 6 5 2 2 6 4 5 6 4 5 4 4 4 2 4 3 3
## [63937] 6 2 2 4 5 4 5 6 3 3 4 5 5 3 3 3 4 4 4 5 6 4 6 5 6 6 5 6 2 3 3 3 3 4 4 3
## [63973] 6 5 2 4 4 4 4 5 4 2 3 4 4 2 4 4 5 3 6 2 4 1 3 5 5 4 2 5 4 4 5 6 4 4 4 5
## [64009] 2 4 3 3 4 6 6 4 2 3 4 5 3 4 5 3 2 2 2 3 4 1 2 6 1 5 4 2 6 4 3 4 4 3 4 2
## [64045] 3 6 4 5 4 3 6 2 4 3 6 4 3 5 1 3 6 4 3 3 4 4 5 3 3 6 2 4 6 1 3 3 5 6 3 5
## [64081] 1 4 5 6 2 5 5 5 6 5 5 3 3 4 4 4 2 3 2 4 6 4 6 4 3 3 4 2 3 3 2 3 5 5 5 3
## [64117] 3 3 5 1 5 3 2 2 1 6 4 5 2 4 6 6 5 4 3 5 4 6 5 5 4 3 4 6 4 6 2 4 6 3 3 5
## [64153] 6 2 6 2 3 3 1 6 2 4 4 4 4 4 4 2 2 3 4 5 4 5 5 4 3 5 4 4 5 4 5 2 3 1 3 6
## [64189] 4 3 3 4 3 4 3 1 6 6 5 4 6 4 4 6 4 6 6 2 5 3 4 4 2 4 3 5 3 4 4 3 4 2 3 4
## [64225] 4 6 2 5 4 3 4 2 2 2 5 3 3 4 5 4 4 4 3 5 4 4 5 2 3 1 2 6 2 5 6 4 3 2 4 3
## [64261] 5 4 4 6 6 5 3 6 3 3 4 6 6 5 4 1 3 4 4 6 5 2 4 4 2 5 4 4 4 2 5 6 6 2 4 3
## [64297] 3 3 3 5 6 4 2 3 4 5 1 6 4 4 5 2 4 4 4 6 5 2 5 6 4 6 6 3 6 5 4 1 4 4 3 3
## [64333] 6 5 3 4 5 3 4 3 6 1 6 2 6 1 4 4 2 3 4 5 6 5 3 5 2 5 3 2 3 2 4 4 3 4 3 4
## [64369] 4 5 5 2 4 4 5 2 2 3 6 1 4 2 4 4 2 6 4 2 2 4 3 3 4 4 4 3 4 5 6 2 2 5 1 2
## [64405] 4 4 2 4 3 2 5 3 6 5 4 4 5 4 2 2 4 3 4 5 2 5 6 5 4 3 6 4 6 4 3 2 2 4 4 1
## [64441] 4 4 6 4 3 2 4 4 4 5 4 5 2 2 6 1 6 5 2 5 6 6 6 3 4 6 6 6 1 6 5 6 3 4 4 2
## [64477] 6 2 4 4 4 2 4 2 4 6 4 3 3 5 4 4 1 4 6 2 3 2 6 5 6 2 4 2 5 2 3 3 5 1 6 4
## [64513] 4 6 4 6 6 3 6 3 1 5 4 5 4 1 3 3 4 5 2 4 6 6 2 4 3 4 4 3 3 2 3 2 4 6 3 3
## [64549] 3 2 1 2 3 4 5 1 3 3 3 3 4 4 6 4 5 2 5 4 2 4 3 5 1 4 4 3 3 2 1 1 4 4 4 2
## [64585] 4 4 3 5 4 4 4 4 3 4 4 5 3 5 4 2 2 5 2 4 4 2 3 3 3 4 1 4 3 2 2 5 2 3 3 3
## [64621] 3 4 4 6 4 5 4 1 6 5 3 3 5 3 4 4 5 3 3 4 5 5 1 5 4 4 4 2 2 2 4 2 1 5 4 3
## [64657] 2 4 5 1 3 4 5 6 5 5 6 6 2 4 4 4 2 6 3 2 4 6 3 2 3 2 4 6 2 5 4 3 2 3 5 2
## [64693] 1 6 3 3 2 1 4 3 5 5 4 3 3 2 3 4 3 5 2 2 4 5 3 4 5 3 3 5 3 3 3 3 6 5 6 5
## [64729] 3 2 4 6 4 3 3 3 4 4 4 3 1 3 4 6 1 1 4 4 4 2 4 6 2 3 1 5 5 3 4 5 6 6 2 4
## [64765] 2 4 5 2 4 4 6 2 5 4 6 4 5 4 5 4 4 4 6 4 3 3 6 2 4 3 3 4 2 4 2 2 2 1 6 4
## [64801] 5 5 6 2 2 5 3 2 3 3 4 3 5 5 6 1 3 6 4 4 4 6 5 5 1 5 6 3 4 4 2 3 6 4 6 3
## [64837] 4 5 3 4 3 5 3 4 2 4 1 1 2 4 5 4 3 4 4 4 6 4 4 4 2 4 4 4 3 4 4 4 4 3 5 2
## [64873] 4 4 2 5 5 4 5 1 6 5 5 2 2 2 5 4 6 2 2 4 4 2 3 3 3 5 1 5 5 2 3 5 4 4 4 4
## [64909] 4 4 4 5 2 4 4 4 6 4 2 5 6 5 6 4 3 3 4 6 3 4 1 4 4 3 3 4 3 4 6 2 4 4 4 4
## [64945] 4 3 2 3 6 6 2 2 6 5 5 5 5 6 5 3 3 6 6 1 5 3 6 4 5 4 4 3 4 4 5 2 3 3 3 6
## [64981] 4 5 5 6 6 5 6 2 6 5 5 2 6 3 5 5 6 6 3 4 6 5 4 4 2 5 4 2 6 2 3 2 5 5 2 4
## [65017] 6 6 4 2 5 5 4 6 5 5 4 2 2 5 6 2 4 1 5 1 3 2 3 4 4 2 3 2 6 5 3 1 5 2 3 4
## [65053] 2 5 3 4 3 4 6 1 4 3 6 5 2 6 2 4 5 3 5 5 3 3 4 4 5 5 4 4 3 4 3 5 3 5 3 4
## [65089] 1 1 5 6 5 2 4 6 1 3 2 5 4 4 3 6 4 4 3 2 2 2 4 5 3 6 3 6 6 1 6 5 4 4 4 4
## [65125] 5 5 5 5 6 3 6 5 6 3 5 4 2 3 4 6 4 2 2 5 6 2 4 5 2 5 6 2 4 4 4 3 6 6 2 2
## [65161] 4 4 4 1 5 4 4 1 4 6 1 2 3 4 6 4 1 2 5 4 4 2 5 3 5 4 3 3 4 4 4 2 2 6 4 6
## [65197] 6 5 3 6 5 2 2 5 6 6 6 3 3 4 3 3 3 6 6 4 3 3 5 1 4 4 3 1 2 5 5 5 5 3 5 5
## [65233] 3 4 3 6 5 3 5 2 4 2 5 4 5 1 4 3 3 4 5 6 3 3 4 2 4 3 2 1 6 3 2 2 2 5 3 3
## [65269] 2 5 5 3 4 3 4 2 4 5 4 4 4 4 4 5 5 5 3 4 6 4 3 2 4 4 4 3 6 5 1 6 3 5 3 6
## [65305] 5 4 3 5 5 3 6 6 6 2 4 6 4 4 5 6 6 3 4 6 4 2 4 1 1 1 6 4 4 4 4 2 1 2 4 5
## [65341] 4 5 5 4 5 6 2 2 5 6 4 4 6 4 5 3 4 3 4 3 3 4 3 5 4 5 5 3 4 5 6 5 3 3 4 6
## [65377] 4 5 4 4 6 3 2 4 5 2 2 4 5 4 4 2 4 4 4 6 2 3 5 4 6 4 6 4 4 4 3 6 6 5 5 3
## [65413] 4 6 5 4 6 3 2 3 5 5 4 4 3 6 4 1 2 5 3 5 3 3 3 3 4 6 5 6 6 4 3 2 2 1 4 2
## [65449] 3 5 1 4 3 3 3 2 3 2 3 3 4 5 4 4 2 3 5 3 4 4 4 2 6 4 3 4 4 5 4 2 4 5 2 5
## [65485] 2 5 5 4 5 4 4 5 5 3 3 6 3 3 6 3 5 4 1 5 3 4 1 6 4 3 4 4 2 3 6 3 6 5 4 4
## [65521] 6 2 4 4 5 3 6 4 3 2 4 1 4 3 4 5 6 4 3 6 5 4 4 4 5 3 5 3 2 4 2 5 4 4 4 3
## [65557] 3 4 4 4 1 5 4 5 1 5 6 3 2 3 4 2 2 6 2 5 4 3 5 5 3 6 6 6 4 3 4 5 6 4 3 2
## [65593] 2 5 5 3 6 3 1 4 2 4 2 6 4 4 3 2 3 4 4 3 4 4 1 3 4 4 6 3 6 4 6 4 3 5 4 5
## [65629] 6 4 4 4 3 6 3 2 4 2 3 2 4 1 4 4 4 4 3 5 2 5 4 2 5 5 5 6 4 5 4 5 6 5 5 4
## [65665] 6 6 5 2 3 2 2 3 5 4 4 3 3 4 1 2 3 2 4 6 6 4 4 4 2 3 4 2 5 2 4 4 2 3 4 3
## [65701] 4 2 2 5 2 4 2 6 2 3 1 5 2 4 5 3 5 1 5 3 5 3 3 6 4 5 4 6 6 3 2 6 4 6 4 5
## [65737] 4 5 4 3 3 3 4 4 5 4 3 5 2 6 3 4 1 4 4 1 4 5 3 6 4 5 6 3 3 5 4 4 5 2 5 4
## [65773] 5 2 3 3 4 2 2 4 6 3 6 5 5 4 6 4 2 4 2 5 5 5 2 5 2 2 4 6 3 3 4 1 1 6 4 1
## [65809] 5 6 2 3 3 4 4 2 2 6 2 4 2 6 4 2 4 4 5 3 3 5 6 6 4 5 4 1 6 3 6 3 2 2 5 6
## [65845] 4 2 2 6 1 5 4 6 4 5 2 5 4 6 6 5 4 4 5 4 2 4 1 5 6 2 4 6 4 3 5 6 4 6 2 3
## [65881] 5 4 5 1 5 1 1 3 2 3 3 2 6 4 5 4 2 4 2 4 5 3 2 3 4 4 3 4 6 5 3 6 4 5 6 3
## [65917] 3 6 6 4 3 3 2 5 5 6 3 1 5 6 4 5 4 4 4 3 1 6 4 5 5 5 4 5 4 3 6 2 4 3 4 5
## [65953] 3 5 4 3 5 5 1 4 4 1 4 3 4 5 2 4 2 6 3 4 4 5 5 4 2 6 3 6 1 4 6 2 1 4 6 5
## [65989] 4 3 5 6 3 2 3 4 2 3 1 3 4 3 4 4 2 4 2 3 4 3 3 4 1 2 4 4 5 3 5 6 6 4 5 4
## [66025] 4 2 4 4 5 4 3 5 3 4 1 5 1 3 2 4 5 4 4 3 4 3 4 4 2 3 2 4 1 5 1 4 6 6 4 5
## [66061] 6 6 4 3 5 5 5 4 3 4 6 3 5 6 4 4 5 4 4 6 3 5 5 3 4 3 2 4 4 3 3 5 3 5 6 5
## [66097] 6 4 3 4 6 2 4 5 5 4 6 6 3 2 5 2 4 6 6 5 5 3 3 4 4 2 1 4 5 3 5 4 5 5 4 5
## [66133] 4 3 5 6 3 4 3 3 4 4 3 4 6 1 4 5 6 3 5 4 4 6 4 3 4 6 5 3 5 4 1 5 5 4 4 6
## [66169] 3 4 3 6 6 3 4 4 5 1 4 2 5 4 4 4 2 5 3 3 3 4 3 4 3 4 3 2 5 4 4 4 3 6 4 5
## [66205] 6 3 3 4 6 3 6 1 5 3 4 5 1 5 2 2 4 2 4 2 3 3 3 3 5 3 5 6 5 6 4 3 4 3 4 1
## [66241] 5 2 3 3 2 2 6 3 4 4 3 4 5 2 4 5 1 4 5 6 5 5 6 4 4 6 3 6 5 5 5 4 5 5 4 2
## [66277] 1 4 4 4 3 4 5 1 4 4 4 3 5 6 4 6 3 3 4 6 3 4 1 6 2 4 3 4 6 3 2 6 2 6 2 4
## [66313] 5 4 6 5 3 2 4 1 3 3 6 3 4 1 4 6 2 4 4 2 6 4 5 5 2 6 4 3 3 4 6 4 5 4 4 4
## [66349] 4 2 6 4 3 2 3 6 2 6 2 4 6 5 3 3 3 3 5 4 4 5 3 5 5 4 2 2 6 5 5 1 4 3 6 4
## [66385] 4 3 3 1 3 6 4 3 4 3 1 3 5 6 5 5 4 3 2 5 4 4 4 1 4 3 2 4 6 6 5 6 6 5 4 4
## [66421] 3 3 2 5 6 4 4 4 6 2 4 6 6 6 2 3 6 6 3 2 6 4 4 3 2 4 4 4 6 2 3 3 4 5 5 3
## [66457] 4 2 5 2 4 6 3 4 6 2 4 2 4 3 4 5 3 3 5 2 4 4 3 4 5 3 6 6 5 6 1 3 3 3 2 1
## [66493] 2 4 3 4 4 1 4 1 5 2 3 3 4 4 5 4 2 4 3 6 2 6 2 4 4 5 5 4 2 3 6 5 3 2 3 5
## [66529] 2 5 1 5 3 4 6 5 6 4 3 6 6 5 4 5 2 3 6 6 6 1 2 6 6 3 3 3 2 4 4 4 4 3 4 3
## [66565] 4 6 6 4 6 4 6 4 4 2 6 6 5 2 4 2 4 6 3 2 3 4 4 6 5 3 4 2 5 4 4 6 5 4 4 4
## [66601] 4 4 4 4 4 6 5 5 4 4 3 5 6 2 2 4 5 2 5 3 3 1 4 3 5 5 3 3 6 5 4 3 3 3 2 3
## [66637] 4 6 2 2 2 4 4 5 4 1 4 4 4 5 4 4 4 2 3 5 1 4 2 5 5 2 6 4 4 4 6 6 6 3 3 2
## [66673] 4 2 5 5 5 5 5 5 2 4 6 3 4 5 6 5 6 2 3 6 4 4 4 3 2 4 4 4 4 6 3 5 4 4 6 4
## [66709] 2 2 6 4 3 1 4 3 1 3 3 3 3 5 2 5 4 2 1 4 2 5 3 6 5 4 3 6 4 5 5 6 1 2 6 3
## [66745] 5 3 1 3 4 4 4 3 1 3 2 4 6 3 3 2 5 6 4 6 6 5 2 5 3 4 4 3 3 1 4 2 3 6 3 4
## [66781] 4 4 3 4 4 4 6 3 3 4 4 1 2 6 4 5 4 6 4 5 3 4 4 3 6 2 3 2 2 2 3 6 4 1 6 2
## [66817] 2 4 1 3 2 4 2 6 1 4 6 4 1 4 5 4 3 5 1 4 2 4 5 2 4 4 1 3 4 2 3 6 5 4 3 4
## [66853] 5 4 5 3 1 6 2 3 3 3 5 5 6 4 1 2 2 5 4 4 3 3 3 4 6 5 3 4 6 6 4 3 5 3 4 4
## [66889] 3 4 1 4 4 6 5 5 4 6 6 4 2 2 5 6 6 1 4 4 6 5 5 4 5 4 5 2 3 6 4 3 4 4 3 5
## [66925] 6 3 4 3 6 2 4 4 3 3 4 6 2 6 3 5 5 4 6 4 4 2 4 2 5 2 3 6 6 3 5 2 5 3 2 4
## [66961] 4 3 4 6 4 6 3 2 1 5 2 6 4 4 4 4 4 6 4 6 3 3 2 4 6 6 4 4 4 5 6 1 4 4 4 3
## [66997] 6 6 4 2 4 6 4 5 4 1 1 4 4 3 3 3 6 5 4 4 4 4 2 5 2 2 4 5 4 6 6 5 5 6 2 5
## [67033] 6 3 2 3 3 5 2 4 6 3 6 4 5 5 4 5 6 3 3 3 2 5 4 4 5 3 6 5 3 2 2 2 2 3 5 4
## [67069] 4 4 6 4 4 4 4 4 4 4 6 6 5 2 5 6 3 3 3 4 3 4 4 2 6 5 4 4 5 3 3 3 5 4 3 4
## [67105] 4 4 2 5 4 4 4 4 3 3 5 6 3 1 6 5 4 2 4 2 6 6 2 4 2 4 6 5 2 3 4 4 3 5 3 3
## [67141] 2 4 1 6 4 4 6 2 5 4 4 2 5 4 5 6 3 3 2 4 5 4 3 6 2 2 4 1 5 6 6 6 6 5 2 4
## [67177] 4 3 6 2 4 2 2 2 2 4 1 2 4 2 4 3 2 4 4 4 4 3 6 6 6 4 4 4 4 6 4 3 5 2 5 5
## [67213] 3 4 2 3 4 5 6 4 2 5 3 4 2 3 5 2 4 4 4 3 2 4 2 4 3 3 6 5 1 6 4 5 4 3 3 2
## [67249] 4 1 4 5 6 5 3 3 3 4 4 3 6 2 6 4 2 2 5 3 3 4 2 2 6 4 6 2 2 3 1 5 3 3 4 4
## [67285] 6 5 2 4 5 4 4 6 3 4 4 3 4 5 3 5 3 5 4 2 4 2 3 2 6 4 5 3 3 6 6 4 3 3 5 3
## [67321] 6 5 4 2 2 3 2 4 3 2 3 4 3 6 4 3 3 2 4 6 1 5 6 3 4 4 4 4 4 6 4 4 5 6 6 4
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## [69373] 6 5 4 5 4 5 3 4 2 3 4 4 5 1 5 5 4 1 6 6 2 6 5 4 2 6 4 3 4 3 5 4 3 5 4 3
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## [69481] 3 3 5 2 4 6 4 6 6 5 6 3 4 5 4 2 5 5 3 4 6 4 2 4 4 6 6 4 5 5 3 5 4 1 5 1
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## [69553] 2 5 4 2 1 4 4 4 3 4 2 6 4 4 3 4 6 4 4 6 4 5 2 2 4 2 5 6 4 4 3 3 6 6 4 2
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## [69913] 3 5 4 2 3 4 2 5 4 1 5 3 3 5 5 2 2 3 3 2 2 3 2 4 5 3 5 6 6 6 6 6 6 6 4 6
## [69949] 2 5 3 2 3 3 5 4 4 5 2 4 6 5 2 3 1 4 6 6 4 6 3 4 2 3 4 4 2 2 5 2 4 6 3 3
## [69985] 6 4 5 4 6 3 3 3 2 4 1 3 6 6 3 5 4 4 5 1 4 4 6 3 3 5 5 5 1 3 5 4 1 5 2 1
## [70021] 2 2 4 3 5 3 3 4 4 5 4 3 1 2 4 5 2 4 5 6 2 2 3 6 5 3 4 2 2 3 2 1 3 1 5 4
## [70057] 6 3 6 6 6 6 4 5 3 4 3 4 5 3 3 1 4 3 6 5 4 3 5 5 3 2 2 2 4 4 6 4 4 4 5 4
## [70093] 1 6 5 6 4 4 3 4 4 5 2 2 2 3 4 3 5 5 6 5 4 4 5 1 3 3 6 4 2 5 3 4 3 6 4 2
## [70129] 2 3 5 4 6 4 3 5 4 2 2 6 5 6 2 4 5 3 4 4 6 3 3 3 2 4 5 4 5 5 2 6 1 2 4 3
## [70165] 6 3 3 5 4 2 4 4 4 3 4 6 6 5 4 4 3 3 2 6 3 2 6 4 4 4 4 3 4 2 3 4 4 3 6 5
## [70201] 4 3 4 5 5 3 3 3 5 5 3 3 3 4 4 6 4 3 6 6 3 6 3 3 6 6 3 4 6 5 4 5 2 2 4 2
## [70237] 3 6 2 2 2 4 3 2 4 4 5 4 3 4 6 4 1 4 4 3 4 6 3 6 4 2 4 4 4 2 1 2 4 1 3 4
## [70273] 3 4 6 2 3 5 6 5 5 6 6 4 6 5 4 4 3 2 3 4 4 3 2 5 5 3 4 4 4 3 5 3 2 3 5 2
## [70309] 4 4 4 5 3 5 3 2 4 4 1 2 4 6 4 4 5 2 5 4 4 2 4 4 4 3 2 5 2 3 6 5 4 4 6 3
## [70345] 6 6 4 5 3 1 6 3 4 6 6 4 4 2 2 4 3 5 1 3 4 1 2 1 5 6 4 6 4 2 4 2 5 2 4 3
## [70381] 2 3 5 4 4 5 3 3 6 5 2 5 5 3 6 3 3 2 3 2 5 6 6 5 2 2 3 4 1 6 3 3 6 6 5 1
## [70417] 6 6 2 3 5 6 2 3 2 3 4 2 4 4 4 5 2 5 4 1 6 2 6 2 3 3 6 2 6 4 6 5 3 4 4 4
## [70453] 5 3 4 4 4 4 2 3 4 3 5 4 6 3 3 4 3 5 2 5 3 6 6 3 2 5 3 6 3 3 6 3 4 6 1 5
## [70489] 4 6 5 5 6 6 6 4 6 4 5 4 3 3 2 3 5 3 5 6 6 4 2 5 4 4 5 4 5 1 4 4 3 4 4 4
## [70525] 4 6 6 3 3 4 4 3 6 4 2 5 4 4 6 6 5 5 4 3 6 4 1 6 5 3 3 3 4 2 2 5 4 4 4 5
## [70561] 4 4 5 4 2 6 2 4 4 4 5 4 5 6 3 4 5 2 4 2 2 2 2 5 3 6 4 3 6 4 5 2 5 2 3 4
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## [70777] 4 3 1 5 6 4 4 1 4 4 4 5 4 4 5 2 1 5 3 3 6 3 4 3 5 6 5 2 4 3 1 5 1 3 5 6
## [70813] 3 5 6 3 4 4 2 4 6 6 3 4 4 2 4 5 4 5 3 3 4 2 3 4 5 3 5 3 4 5 4 2 4 5 3 6
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## [70885] 3 4 6 4 3 4 4 3 4 2 6 4 6 2 5 3 3 4 2 4 5 4 5 6 5 4 3 4 4 4 6 6 4 2 4 4
## [70921] 3 3 4 2 5 6 4 3 4 4 3 4 3 1 6 5 5 5 4 3 1 4 6 3 4 2 4 2 2 4 2 4 2 2 2 5
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## [71065] 4 6 4 4 2 3 5 3 4 2 4 4 2 3 2 4 1 5 3 3 3 1 4 6 4 5 4 2 4 4 4 4 5 6 4 2
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## [71749] 3 5 4 2 4 1 4 2 4 4 3 2 5 2 2 4 5 1 3 3 2 6 2 4 4 2 3 2 3 6 2 3 3 4 3 2
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## [73873] 4 6 6 6 3 1 5 4 4 6 3 3 4 3 4 4 4 4 4 4 2 3 3 5 2 4 6 6 1 5 6 2 5 4 4 5
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## [73945] 3 5 4 4 2 4 4 2 4 3 2 6 2 4 4 2 5 3 5 5 5 2 3 6 4 3 2 6 2 3 4 5 4 4 4 5
## [73981] 1 5 1 4 2 3 4 2 3 4 4 4 5 5 4 4 2 3 5 3 4 4 4 2 5 3 5 4 4 4 3 2 6 5 5 4
## [74017] 3 6 4 4 6 5 5 4 4 2 3 3 4 4 6 2 4 4 2 1 4 1 4 4 2 6 1 4 5 4 4 2 4 6 5 3
## [74053] 2 5 5 3 1 2 4 4 2 4 6 6 4 1 4 3 3 6 2 3 4 6 6 5 6 4 5 4 3 4 3 4 6 4 1 4
## [74089] 3 5 4 2 5 2 3 5 4 5 4 3 3 4 4 4 4 6 4 2 2 3 3 4 5 4 4 2 5 6 6 4 2 4 5 6
## [74125] 4 3 4 3 6 4 4 6 5 2 3 6 3 5 1 4 4 3 4 2 2 3 2 4 3 6 4 3 3 5 3 4 4 4 2 4
## [74161] 3 3 1 4 4 1 2 5 3 5 5 4 3 5 5 3 1 1 5 2 5 2 2 2 2 4 4 3 6 4 2 3 3 3 6 6
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## [74233] 4 6 3 5 5 4 3 4 5 6 3 5 4 3 6 5 2 4 4 1 4 2 4 6 6 5 5 3 6 1 2 5 5 5 6 3
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## [74305] 3 3 2 5 3 2 5 2 2 5 2 1 5 5 4 4 2 5 2 5 4 1 4 3 6 1 4 4 3 5 3 2 1 6 5 5
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## [75061] 4 6 3 5 4 4 5 5 4 3 3 4 3 2 3 5 5 3 4 3 5 3 4 3 3 2 3 2 4 3 4 6 5 5 3 2
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## [76285] 4 3 4 2 3 6 4 4 1 5 3 1 3 5 4 5 4 4 4 6 3 2 4 5 4 4 4 4 4 4 5 4 4 6 3 6
## [76321] 6 5 6 6 6 5 1 6 6 6 1 4 4 5 4 4 2 6 3 3 2 4 1 3 5 6 2 3 4 6 2 4 3 5 3 2
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## [76393] 2 1 4 4 5 4 3 2 6 4 3 4 4 3 4 5 3 3 4 4 4 5 4 4 3 4 3 4 3 3 2 4 6 3 3 4
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## [76465] 3 4 5 4 1 3 5 4 5 5 5 4 6 6 2 2 5 4 4 4 4 2 4 4 2 5 4 4 5 4 3 2 4 4 4 5
## [76501] 5 6 5 2 2 2 2 6 3 3 5 5 4 5 4 2 3 2 5 3 4 4 2 4 2 4 3 6 6 3 6 4 2 4 4 2
## [76537] 3 4 6 2 4 3 6 3 4 2 2 2 6 4 2 5 4 3 6 4 5 2 2 2 4 4 3 6 3 2 2 5 6 4 6 5
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## [76609] 2 5 6 4 4 4 2 2 4 5 3 4 2 2 3 3 2 2 4 3 2 3 4 6 2 4 6 3 5 4 4 5 4 6 3 5
## [76645] 2 3 2 4 2 4 4 2 6 2 3 1 2 3 4 4 4 3 6 4 4 5 1 4 4 5 5 2 4 5 4 6 6 3 1 3
## [76681] 5 2 4 3 3 3 4 6 3 3 6 3 4 4 5 4 5 3 2 4 6 1 3 3 4 6 1 4 5 4 5 2 5 5 5 2
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## [76825] 6 5 3 4 3 6 2 4 4 4 3 3 4 4 3 6 4 3 4 4 4 4 4 2 2 4 2 5 6 3 2 5 3 4 5 6
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## [76897] 4 3 2 4 2 3 3 6 4 5 2 1 6 5 5 4 4 3 2 6 4 5 3 2 4 4 4 3 1 2 2 5 4 3 6 6
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## [76969] 3 5 3 5 5 6 5 2 3 5 3 4 4 3 3 3 4 5 3 2 3 2 2 4 2 3 3 4 4 3 4 4 4 4 4 4
## [77005] 3 6 5 4 4 4 3 4 5 1 4 2 4 6 2 3 3 5 4 4 2 5 6 2 5 4 4 4 2 5 4 1 4 3 4 3
## [77041] 6 6 3 4 5 3 4 4 5 4 5 3 2 2 4 4 4 6 4 6 2 2 2 3 3 5 3 4 4 2 4 1 4 4 4 3
## [77077] 3 4 5 4 2 4 4 4 4 5 2 3 1 6 5 3 3 4 4 4 4 3 5 4 6 1 4 3 3 4 3 3 4 3 2 4
## [77113] 5 5 3 5 3 5 3 4 4 2 2 6 2 5 3 5 3 5 4 6 4 2 3 5 4 2 5 6 3 2 4 4 3 4 4 1
## [77149] 4 4 4 6 1 4 3 3 3 4 6 5 4 3 5 6 6 2 4 6 4 4 5 1 2 4 3 5 6 6 6 3 5 4 2 3
## [77185] 2 4 3 2 3 2 2 4 3 5 3 6 3 5 4 4 3 4 3 5 3 5 4 4 6 3 4 4 2 5 5 2 4 4 3 6
## [77221] 6 4 4 6 5 4 6 5 1 4 6 4 4 1 2 2 6 4 2 4 1 5 4 4 3 2 2 2 5 4 3 4 4 2 4 6
## [77257] 4 4 4 4 4 6 6 5 6 2 6 2 5 4 6 5 4 4 6 4 3 1 1 4 3 6 1 4 2 4 5 3 2 2 6 3
## [77293] 6 5 4 6 3 4 4 3 2 5 5 4 3 4 5 4 3 4 5 5 5 5 1 4 4 3 2 4 4 2 4 4 3 4 2 5
## [77329] 4 6 2 2 3 3 3 5 4 5 5 3 3 6 5 6 4 5 4 5 4 2 4 3 6 5 5 3 4 2 5 4 5 3 3 2
## [77365] 4 4 4 4 2 3 4 2 3 4 5 2 4 3 2 4 5 3 3 3 2 4 3 2 4 4 5 3 4 4 4 6 5 4 2 2
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## [77437] 2 6 2 3 4 5 4 3 2 1 3 5 3 5 6 4 4 3 3 5 6 6 5 4 4 6 4 4 2 4 2 3 3 3 4 5
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## [77509] 6 3 2 2 3 3 2 6 3 5 3 3 1 3 3 4 2 6 3 5 4 3 3 5 5 3 4 2 4 3 5 6 3 4 5 5
## [77545] 3 6 4 3 4 5 3 3 3 2 5 5 3 4 2 5 3 4 3 2 3 4 6 6 5 2 6 6 4 2 4 6 5 4 4 6
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## [77653] 1 2 3 2 3 1 2 3 4 2 4 4 5 3 4 5 1 4 6 4 3 4 4 4 5 3 4 6 4 6 5 3 1 2 1 4
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## [78229] 4 4 5 4 4 2 5 5 2 2 1 5 6 4 4 3 3 4 2 4 4 2 2 5 5 3 4 2 3 4 3 4 4 2 4 3
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## [78301] 3 3 4 4 6 4 4 3 3 4 5 5 5 3 4 3 2 4 4 4 5 5 5 1 6 6 6 4 6 5 5 5 3 4 3 4
## [78337] 2 5 5 2 5 4 1 2 3 2 3 3 6 4 4 6 2 2 3 1 3 4 1 6 4 2 2 4 4 4 4 3 3 5 3 4
## [78373] 5 3 4 4 4 2 4 2 4 3 2 2 4 4 2 4 6 5 4 4 6 6 2 6 4 4 5 4 2 3 3 3 4 2 2 3
## [78409] 3 4 5 3 4 3 3 3 2 5 4 6 2 5 4 3 4 6 4 4 2 2 3 4 5 4 4 3 5 1 5 5 5 5 2 4
## [78445] 5 1 2 3 3 5 5 5 6 5 4 4 2 5 4 4 2 1 4 4 3 3 5 5 5 3 6 6 6 5 2 2 4 6 2 6
## [78481] 4 3 3 3 2 4 5 5 3 5 6 4 5 2 4 3 3 4 4 6 5 3 4 5 4 2 2 2 3 6 4 3 2 4 6 4
## [78517] 4 2 3 3 4 2 3 2 6 4 6 3 5 3 2 4 6 1 4 5 4 2 5 5 4 2 4 5 5 2 3 1 4 3 4 5
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## [78589] 2 5 3 2 4 2 5 4 3 4 3 4 4 3 5 4 4 4 6 4 3 4 3 5 4 4 5 5 3 4 5 3 3 4 3 2
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## [78913] 4 6 6 3 4 1 3 5 4 6 6 4 6 5 1 1 1 6 1 5 3 1 1 1 3 2 3 4 2 5 4 5 4 3 4 4
## [78949] 3 4 2 5 2 4 5 4 1 2 4 3 5 4 2 1 4 5 3 2 5 4 3 4 2 4 3 4 6 1 4 4 2 5 6 2
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## [79345] 4 4 5 6 6 2 4 5 6 2 4 3 4 4 4 2 2 4 5 3 3 2 3 6 2 3 1 2 4 3 3 2 5 5 4 4
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## [79849] 3 4 1 3 3 6 3 3 5 6 4 6 2 4 4 6 3 6 6 5 1 2 2 6 5 4 3 2 4 5 3 3 4 1 6 2
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## [79921] 3 3 3 4 2 5 2 4 2 6 4 5 4 3 4 4 2 2 1 3 3 4 3 4 4 3 6 5 4 4 4 2 4 5 4 2
## [79957] 4 6 4 4 4 5 2 3 4 3 4 2 2 5 3 4 5 5 4 5 6 6 3 4 4 2 6 1 4 5 2 5 3 2 1 4
## [79993] 2 5 3 2 3 2 5 1 6 3 4 6 2 5 6 5 6 4 5 4 3 4 4 5 4 2 3 4 2 2 2 4 5 4 4 5
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## [80137] 4 3 3 5 4 5 5 2 2 6 2 5 5 2 6 4 3 5 3 3 5 5 4 4 3 5 5 5 1 5 6 6 6 6 5 4
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## [80245] 3 4 4 6 3 5 5 3 6 6 6 2 4 4 4 4 5 6 1 3 4 4 4 4 5 6 6 4 3 4 6 5 5 4 5 2
## [80281] 6 4 5 6 4 5 3 4 2 2 5 4 2 4 4 2 3 2 3 4 4 2 4 5 4 2 2 5 4 3 2 5 2 4 5 3
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## [80389] 4 2 3 3 2 4 4 4 6 4 3 3 4 5 6 6 3 6 3 6 5 5 4 3 4 1 5 2 5 4 4 4 4 6 5 4
## [80425] 5 6 6 4 2 4 6 3 4 4 3 5 1 4 4 5 4 6 4 5 1 4 5 5 6 1 4 4 4 3 5 4 2 4 3 3
## [80461] 4 6 4 6 6 3 4 3 3 2 4 1 5 5 4 5 3 2 6 2 4 6 6 1 6 1 4 4 3 4 4 5 2 4 4 4
## [80497] 5 3 4 5 5 4 4 4 1 2 3 4 3 3 6 5 5 5 5 2 5 4 6 4 4 4 6 5 2 3 3 3 5 2 4 3
## [80533] 3 3 3 4 4 3 3 2 3 2 3 4 4 6 3 3 6 4 4 4 2 5 5 6 3 5 5 1 4 3 6 6 3 4 3 4
## [80569] 3 6 4 3 4 6 4 5 4 5 6 5 5 5 6 5 1 3 6 6 1 1 5 6 4 3 3 3 2 6 3 5 6 3 4 4
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## [80641] 4 2 5 4 4 5 5 4 5 4 5 3 4 6 3 4 3 6 3 3 6 3 6 1 4 4 3 6 3 2 3 3 4 6 3 2
## [80677] 5 4 5 6 3 2 5 3 5 3 5 5 2 2 5 4 3 5 3 3 1 3 3 4 5 4 6 6 3 3 6 4 3 4 4 3
## [80713] 3 5 4 3 5 5 3 4 4 2 4 4 3 4 5 5 2 2 2 4 6 3 5 3 6 6 2 4 5 5 6 2 4 4 4 4
## [80749] 4 4 4 4 4 3 2 5 4 4 4 3 4 4 4 3 2 6 4 4 5 4 1 4 3 4 4 4 3 3 5 4 3 6 4 5
## [80785] 4 2 4 6 5 4 4 2 4 2 3 3 6 3 6 6 3 2 6 1 6 5 2 3 5 6 5 1 2 5 2 2 6 2 3 6
## [80821] 3 3 4 2 5 2 2 6 2 5 4 2 3 6 4 4 4 6 3 6 3 4 3 2 3 1 6 4 5 5 4 1 4 4 3 6
## [80857] 2 4 2 4 2 5 3 2 5 3 5 3 3 2 2 6 4 4 5 4 1 5 6 5 3 1 3 4 4 6 5 3 4 6 2 4
## [80893] 1 2 3 4 4 3 6 1 4 5 4 2 3 5 5 4 2 3 4 3 5 4 5 3 4 5 3 4 3 4 5 6 5 5 2 2
## [80929] 4 5 4 5 4 4 5 4 3 4 3 3 5 3 5 5 4 6 5 1 3 2 5 3 4 3 4 5 3 4 5 1 4 4 6 5
## [80965] 4 4 2 5 3 5 3 5 5 5 3 4 5 4 2 4 2 4 4 4 1 3 5 5 5 1 4 6 6 4 3 4 4 3 2 4
## [81001] 4 6 4 2 2 4 4 2 5 6 2 4 4 5 5 5 4 4 3 5 2 1 5 4 5 2 1 6 3 4 1 3 6 5 4 5
## [81037] 1 2 2 2 5 3 3 2 4 3 4 4 4 4 2 3 4 3 4 3 2 4 4 4 5 2 6 5 6 2 3 4 4 2 4 3
## [81073] 5 3 5 3 3 5 6 5 5 5 2 6 1 4 5 3 4 4 5 2 4 4 4 5 3 2 4 4 6 2 4 6 3 5 6 3
## [81109] 4 2 3 4 4 4 4 3 4 1 2 3 3 4 2 3 4 5 5 2 5 3 4 2 3 4 5 2 4 4 2 5 5 2 1 4
## [81145] 6 1 6 3 4 5 4 4 2 2 4 2 4 6 3 5 6 3 5 5 5 3 3 6 2 2 4 5 6 2 5 6 4 3 4 5
## [81181] 4 6 5 3 5 1 6 5 2 6 1 4 4 5 5 4 4 4 5 3 6 4 4 4 5 6 4 6 6 4 3 4 2 2 3 4
## [81217] 4 6 5 6 4 4 4 4 2 4 6 3 3 1 2 3 4 4 4 4 2 3 3 3 5 3 5 3 6 3 4 6 4 4 2 3
## [81253] 4 3 2 2 4 3 4 6 2 5 5 2 6 4 6 4 6 2 6 4 4 4 5 6 4 4 6 5 1 4 6 5 3 4 2 6
## [81289] 2 3 5 4 4 3 4 4 6 4 2 4 3 5 2 2 4 2 4 3 3 3 1 4 3 4 3 6 6 4 5 2 4 5 6 4
## [81325] 2 3 3 4 6 5 4 6 3 4 4 4 4 5 4 3 1 4 2 4 2 5 6 3 4 4 6 6 1 5 4 2 3 4 3 6
## [81361] 3 6 3 4 3 4 5 4 5 6 3 5 4 5 5 6 4 2 4 2 2 6 3 3 5 4 3 4 2 3 5 2 3 6 4 3
## [81397] 6 4 4 6 4 4 3 2 5 3 1 2 6 4 4 3 6 3 5 4 4 3 2 4 3 5 5 3 2 4 5 5 2 4 4 3
## [81433] 3 5 6 4 4 4 4 2 3 4 3 2 5 3 2 3 1 2 3 3 3 2 3 4 3 5 6 3 1 4 4 4 4 2 2 4
## [81469] 4 3 4 4 4 3 4 4 3 5 4 5 2 6 4 6 2 4 6 6 6 2 3 2 4 4 5 3 4 4 6 3 6 4 5 3
## [81505] 3 3 3 6 3 2 2 3 4 2 4 4 2 4 6 3 3 4 5 6 4 3 4 4 3 5 4 4 6 6 3 1 4 6 4 3
## [81541] 4 4 6 4 3 3 2 4 6 4 2 4 3 4 6 5 4 3 5 4 4 3 6 3 4 4 6 4 5 4 1 2 1 5 3 6
## [81577] 4 5 4 4 2 3 4 4 3 5 4 3 5 2 3 3 4 3 2 4 4 5 3 4 4 4 4 4 4 3 1 3 6 3 3 5
## [81613] 1 2 4 2 6 2 4 4 6 4 3 3 4 2 2 3 5 5 5 3 2 4 5 5 1 6 6 1 5 2 3 1 4 3 2 4
## [81649] 1 2 3 2 1 3 3 4 3 5 5 2 3 5 6 2 5 3 6 3 5 5 5 6 6 4 4 3 4 3 6 6 2 6 3 6
## [81685] 6 3 1 5 4 6 3 3 4 3 5 2 3 2 2 3 5 1 4 4 5 5 6 5 2 6 5 6 5 1 6 5 3 5 2 4
## [81721] 4 3 3 3 2 4 2 3 2 5 4 4 6 4 3 4 4 5 4 2 3 3 1 2 2 4 3 3 3 2 2 4 4 3 3 2
## [81757] 6 6 5 6 4 1 4 4 3 6 3 4 4 6 4 6 5 3 4 3 3 5 1 2 4 3 4 6 5 5 6 4 3 3 5 2
## [81793] 3 1 1 6 6 5 5 3 4 2 4 4 5 3 3 6 3 5 4 4 6 5 2 2 3 6 4 5 3 3 4 4 2 5 1 4
## [81829] 3 3 6 3 1 6 4 3 5 3 6 4 3 4 5 4 4 2 4 3 3 1 1 3 5 2 5 4 1 5 3 1 2 4 1 4
## [81865] 3 6 3 4 2 2 4 5 5 4 4 5 4 5 5 4 4 5 6 5 2 6 4 3 1 6 4 3 3 6 2 3 2 4 6 4
## [81901] 5 4 6 4 5 5 3 2 4 3 5 4 3 3 3 6 5 3 4 4 4 2 6 6 3 6 3 4 1 5 4 6 5 3 3 3
## [81937] 3 4 5 6 3 5 3 5 3 4 4 6 4 4 4 3 3 4 3 4 5 3 3 4 4 5 4 2 4 4 5 2 6 6 6 5
## [81973] 3 3 2 5 2 3 4 6 5 6 5 6 3 4 5 5 2 6 4 2 4 3 3 4 4 3 4 6 5 2 5 2 4 5 6 4
## [82009] 3 2 4 6 4 3 3 4 2 3 6 4 2 4 4 6 2 3 2 5 2 5 5 4 4 1 3 6 2 5 4 4 3 5 4 6
## [82045] 3 4 4 6 4 3 3 4 6 2 6 4 1 5 2 5 2 6 4 2 6 5 4 5 5 6 4 2 5 3 4 5 5 4 6 4
## [82081] 3 3 3 2 5 5 6 4 2 4 5 3 4 4 2 4 4 5 5 4 2 5 4 2 4 4 4 4 3 3 4 2 4 3 3 4
## [82117] 6 1 2 4 5 4 4 4 4 4 2 3 2 2 1 4 2 4 2 3 4 4 4 4 2 4 5 4 5 4 5 2 3 5 4 3
## [82153] 2 4 4 2 5 6 4 2 4 4 4 4 3 5 2 3 4 3 3 4 2 2 3 3 4 3 4 2 2 2 5 3 2 2 2 4
## [82189] 1 4 4 3 3 6 6 4 3 3 2 3 4 2 4 6 2 4 5 2 4 2 1 3 4 6 4 4 3 5 6 5 2 6 5 3
## [82225] 2 4 3 2 5 6 3 5 5 6 1 4 6 3 1 6 5 6 5 3 4 2 3 5 5 4 4 3 4 3 2 4 4 6 4 4
## [82261] 3 4 1 4 3 3 3 2 3 4 5 4 1 3 3 5 2 5 2 3 5 6 3 1 5 2 3 1 4 3 2 5 4 2 3 6
## [82297] 3 4 4 3 3 3 4 3 3 2 5 5 5 3 6 2 4 4 4 4 3 1 4 2 4 5 5 4 4 4 2 4 4 4 3 4
## [82333] 4 5 3 4 3 4 2 4 3 3 6 2 6 5 2 3 1 4 3 5 4 3 3 5 4 5 5 5 3 4 6 4 4 5 6 3
## [82369] 4 2 6 4 3 4 5 3 6 4 6 3 3 5 4 6 5 2 3 5 1 6 6 2 6 6 3 5 2 4 3 4 2 2 2 3
## [82405] 3 2 2 3 3 3 3 6 6 4 4 4 3 4 6 4 6 5 3 3 6 5 5 5 2 4 1 3 5 2 3 2 6 4 4 5
## [82441] 3 6 2 5 6 1 6 6 3 4 5 5 4 5 2 3 1 5 6 2 1 1 5 3 5 3 3 2 5 4 4 4 5 5 2 4
## [82477] 4 1 4 4 5 6 4 4 4 4 4 4 2 4 4 3 3 2 5 3 4 1 2 5 4 6 2 3 1 6 3 5 5 4 2 6
## [82513] 4 2 4 3 5 4 4 5 2 4 2 3 4 4 3 4 6 6 3 3 6 4 3 5 5 4 4 3 4 4 4 1 5 4 2 4
## [82549] 2 4 5 2 2 3 5 2 3 4 2 2 3 3 4 3 4 4 3 4 4 6 3 5 3 5 4 5 4 4 5 1 5 2 4 3
## [82585] 4 4 4 4 3 5 4 4 4 2 2 3 3 5 3 6 4 3 5 4 2 2 6 3 5 4 1 4 1 4 5 2 4 6 3 5
## [82621] 6 6 4 6 2 3 4 3 6 3 2 5 6 1 3 2 4 5 3 5 5 3 2 4 2 4 2 4 3 5 3 5 1 5 4 6
## [82657] 6 4 3 6 5 4 6 4 2 2 3 5 2 5 2 3 4 2 5 3 1 4 1 3 5 4 3 3 5 4 5 4 5 3 2 4
## [82693] 4 2 4 3 3 5 6 4 3 2 6 3 6 6 2 5 5 4 2 2 4 5 6 5 1 4 3 5 2 3 4 4 2 2 3 3
## [82729] 5 2 3 2 5 5 3 4 3 4 4 5 3 4 2 4 6 3 6 6 4 4 4 3 2 5 4 4 5 2 2 4 3 5 4 4
## [82765] 4 4 2 2 5 3 6 4 1 1 5 5 3 5 4 6 5 5 4 5 3 4 4 4 5 4 3 3 4 4 6 3 5 5 4 1
## [82801] 5 4 4 3 4 3 6 2 4 4 4 4 6 4 5 2 2 3 2 2 2 2 4 1 4 6 3 5 3 3 5 6 3 1 6 3
## [82837] 1 6 3 5 5 3 3 3 3 6 1 5 3 3 5 5 3 4 5 2 3 1 5 2 1 6 3 6 3 4 4 5 4 4 4 3
## [82873] 3 3 1 2 3 5 5 4 1 3 2 3 5 4 4 3 2 1 4 6 6 6 4 4 4 5 6 3 4 6 5 5 5 1 3 3
## [82909] 5 4 6 2 2 4 1 6 3 6 5 4 3 6 3 3 4 4 6 3 4 3 1 6 4 3 4 3 2 4 5 4 6 4 3 4
## [82945] 5 2 3 4 5 3 6 6 6 4 2 3 2 6 3 5 3 4 5 5 5 3 5 4 2 5 6 2 4 4 2 4 1 2 5 5
## [82981] 2 5 6 5 3 3 4 2 3 4 4 5 6 4 6 5 4 4 2 2 1 3 2 4 3 4 1 1 4 6 2 4 6 4 2 4
## [83017] 2 4 4 6 2 6 3 3 5 4 3 2 3 6 4 6 6 5 6 5 2 4 2 3 6 5 4 2 2 5 4 4 4 5 5 5
## [83053] 2 1 4 3 5 2 4 2 4 3 5 4 2 1 5 5 5 4 6 5 5 4 3 4 3 3 3 3 4 3 4 4 4 3 1 5
## [83089] 4 2 6 1 5 5 3 6 2 4 4 4 4 5 3 6 1 6 6 6 2 4 4 4 4 5 6 4 2 4 3 3 2 5 5 5
## [83125] 5 3 4 2 4 4 4 2 5 5 4 6 5 3 3 5 5 3 3 6 5 3 6 3 2 6 6 3 4 4 5 5 2 4 3 4
## [83161] 4 1 6 5 4 4 4 5 4 3 4 3 4 5 4 2 4 6 4 4 3 5 5 3 6 3 5 4 1 5 1 6 4 4 2 3
## [83197] 4 4 4 4 4 4 2 4 4 4 3 4 6 2 3 5 4 6 4 6 4 2 3 5 5 2 2 2 2 4 2 4 3 2 4 6
## [83233] 4 3 6 3 2 5 3 4 5 4 1 6 5 3 5 4 4 4 5 5 2 4 5 5 6 4 3 6 2 2 3 5 3 4 2 4
## [83269] 5 6 4 6 5 3 5 2 4 4 6 4 3 3 5 2 4 5 2 4 1 4 3 5 1 4 1 4 6 4 6 3 4 4 3 3
## [83305] 5 6 5 3 6 5 5 1 5 4 5 1 5 4 4 2 4 6 6 3 5 6 5 4 4 6 2 1 4 2 5 6 4 4 1 6
## [83341] 5 5 6 2 1 4 3 2 5 5 2 4 2 1 5 4 2 4 5 4 2 4 4 6 4 3 4 4 4 5 5 3 2 6 4 4
## [83377] 2 2 5 4 5 2 6 2 4 4 5 4 2 3 5 3 3 4 2 1 5 4 4 5 6 2 6 3 3 6 4 2 3 6 6 2
## [83413] 5 4 3 4 3 3 6 3 3 5 4 3 3 4 4 2 5 4 3 3 2 4 3 4 2 2 1 4 4 4 4 6 6 6 5 3
## [83449] 4 5 4 4 6 5 3 5 5 5 4 5 4 4 3 3 2 5 4 4 2 3 6 4 6 6 4 5 4 4 5 2 1 4 4 3
## [83485] 1 1 2 2 4 4 3 4 3 2 2 4 4 4 4 4 4 4 5 6 2 3 1 3 6 4 6 3 5 4 6 5 2 3 3 6
## [83521] 3 6 4 2 6 2 1 6 6 2 5 4 1 2 4 4 2 2 5 4 4 2 4 4 4 3 6 2 3 3 4 6 1 2 1 5
## [83557] 1 4 4 4 3 4 4 4 5 4 3 2 4 6 5 4 1 6 3 4 3 6 1 2 6 5 5 1 3 2 6 5 5 2 1 6
## [83593] 4 5 3 1 3 4 6 4 4 4 4 3 2 2 4 4 4 2 1 3 2 4 5 6 3 4 1 2 2 3 1 4 3 4 4 2
## [83629] 3 5 2 4 5 3 5 3 4 5 6 4 5 4 4 4 2 5 6 4 2 5 5 2 3 4 3 6 3 6 4 4 5 4 3 5
## [83665] 5 4 4 3 3 3 4 5 4 4 3 2 6 3 5 4 3 5 6 4 6 3 3 4 3 2 4 4 2 4 6 3 6 4 4 5
## [83701] 5 2 1 2 6 2 4 5 6 6 6 1 5 2 5 4 4 3 3 6 3 4 3 3 3 1 5 1 5 2 4 2 2 5 4 4
## [83737] 4 4 4 2 2 5 3 6 4 4 4 5 2 4 4 2 3 5 2 4 5 2 4 4 3 5 2 1 6 3 5 4 4 4 3 2
## [83773] 3 4 4 3 6 3 4 4 5 5 4 4 4 4 5 6 4 4 5 2 6 4 4 4 2 2 5 5 4 3 2 6 4 4 2 4
## [83809] 2 6 4 5 3 4 3 1 4 4 6 2 3 6 4 2 3 5 4 4 4 3 4 6 3 6 4 4 1 6 4 3 5 2 4 6
## [83845] 6 5 6 1 6 1 5 1 3 6 3 3 3 2 4 3 3 2 4 4 3 2 2 4 3 3 2 4 3 6 4 4 4 2 3 2
## [83881] 6 2 3 4 3 3 3 3 6 3 4 4 6 4 3 4 4 2 5 1 3 6 4 4 6 5 4 4 1 6 5 5 3 2 2 5
## [83917] 6 5 5 6 6 6 3 5 4 2 4 2 5 6 4 2 4 3 6 1 6 3 2 4 4 4 5 6 6 4 6 6 4 5 2 6
## [83953] 5 5 2 4 4 6 3 1 4 6 4 4 3 4 4 3 3 4 5 4 6 3 3 3 2 2 4 1 3 4 4 4 6 5 6 2
## [83989] 1 3 6 4 6 3 6 2 3 1 2 5 2 2 2 3 2 5 5 2 4 4 4 4 4 5 6 3 2 3 4 2 5 3 3 4
## [84025] 3 2 4 3 4 2 4 2 3 2 1 3 4 4 4 5 5 4 5 3 3 5 3 4 4 3 6 3 4 4 6 4 2 3 1 2
## [84061] 5 3 5 4 2 2 4 4 2 3 4 5 6 6 4 2 1 4 4 5 5 4 6 3 5 6 4 3 4 4 6 5 4 5 5 3
## [84097] 3 3 6 4 4 4 2 5 5 6 4 4 3 6 3 3 1 6 5 3 2 6 3 6 6 3 2 3 4 3 3 1 2 4 6 2
## [84133] 3 1 4 6 2 4 5 3 4 6 1 4 3 3 4 4 4 1 5 3 4 2 6 4 5 4 6 3 3 5 3 2 4 4 4 1
## [84169] 4 4 4 2 4 3 3 6 2 4 3 3 4 5 2 5 4 2 4 5 1 2 3 2 4 4 6 6 4 5 5 5 2 1 4 6
## [84205] 2 5 5 3 4 5 6 4 3 6 4 5 5 5 5 6 3 4 3 2 6 3 2 2 2 3 5 2 4 4 3 6 4 5 6 6
## [84241] 5 5 4 4 6 1 5 5 6 4 5 2 4 5 4 5 4 4 3 1 6 4 1 4 4 5 4 4 5 6 3 4 2 4 2 3
## [84277] 1 4 1 4 5 3 2 2 5 6 3 5 4 5 2 6 2 4 5 3 5 4 3 4 5 5 3 3 3 3 1 4 5 6 5 2
## [84313] 2 3 5 3 4 4 4 3 3 5 6 3 4 4 4 1 2 4 3 6 4 5 2 2 6 2 5 2 2 6 3 3 4 4 3 2
## [84349] 4 6 4 4 4 4 2 2 6 4 2 5 4 3 4 5 2 2 6 4 5 1 3 4 5 5 3 1 2 4 3 6 4 3 4 5
## [84385] 2 2 4 4 2 3 4 1 4 2 6 4 3 3 5 4 1 4 5 5 4 2 4 4 5 2 4 2 4 1 4 4 2 4 3 6
## [84421] 2 3 5 1 2 3 3 4 4 3 4 3 5 6 4 3 6 5 3 3 4 5 4 5 5 5 4 4 1 5 3 5 2 4 5 3
## [84457] 2 5 4 3 3 5 4 4 4 3 5 1 6 3 6 4 3 2 1 2 2 5 5 2 1 4 2 5 5 4 3 5 5 4 3 2
## [84493] 4 4 4 5 4 3 4 4 4 6 4 4 4 1 4 6 5 6 5 4 6 3 5 1 3 4 3 4 4 3 1 2 3 4 4 2
## [84529] 3 4 4 1 4 2 6 2 5 1 6 2 2 2 4 2 3 2 5 5 3 4 2 4 6 3 4 6 3 3 3 3 3 3 4 2
## [84565] 3 5 4 4 2 2 3 4 3 2 3 2 4 3 5 4 6 5 3 4 4 4 4 4 4 4 6 6 3 2 2 3 1 3 4 3
## [84601] 5 4 4 3 4 3 4 3 5 4 5 1 4 2 2 3 4 3 4 5 4 4 4 4 4 5 4 4 4 4 4 6 3 4 3 3
## [84637] 5 2 4 4 4 4 3 4 2 2 3 6 3 6 4 4 6 3 3 5 3 6 3 6 2 2 2 4 5 4 1 3 1 4 6 5
## [84673] 4 4 5 6 2 3 4 2 6 4 4 4 5 4 5 4 4 2 3 5 4 3 4 6 2 3 3 1 4 6 2 4 6 3 2 4
## [84709] 5 5 1 6 6 4 4 4 4 6 6 5 6 6 5 5 5 6 4 3 4 4 4 2 2 5 5 6 5 1 1 4 4 4 4 2
## [84745] 4 4 3 4 3 2 6 4 4 6 4 5 4 3 6 5 4 4 2 5 3 2 5 2 4 3 2 6 3 3 4 1 4 2 2 3
## [84781] 2 3 2 5 4 4 6 5 3 2 5 4 4 3 6 6 3 1 6 6 4 6 5 3 2 4 4 3 3 4 4 3 2 4 2 4
## [84817] 4 1 2 4 2 2 4 5 4 5 2 6 3 4 3 6 4 3 5 5 6 4 4 2 2 2 3 4 4 5 3 3 4 4 3 6
## [84853] 4 4 6 5 5 2 2 6 4 2 3 4 2 5 2 1 1 5 4 3 3 4 6 6 1 5 4 6 1 5 6 3 4 4 3 4
## [84889] 4 3 5 2 4 4 1 2 6 6 2 4 3 5 2 4 4 4 4 5 4 6 5 4 2 4 3 4 1 3 5 2 5 3 4 4
## [84925] 3 4 4 2 4 1 4 5 4 3 1 4 3 4 3 3 6 6 4 2 4 4 3 6 5 3 4 4 3 5 6 3 4 4 3 2
## [84961] 4 2 5 5 5 5 2 4 5 4 2 5 6 2 3 5 5 4 3 4 6 2 5 5 4 4 6 4 1 3 3 2 3 5 4 4
## [84997] 3 2 4 6 3 5 4 2 2 5 4 4 1 3 4 6 3 4 4 6 3 3 2 3 6 3 2 3 5 2 3 6 6 3 5 6
## [85033] 4 4 4 4 4 2 2 4 4 4 4 5 5 6 5 5 3 5 3 2 5 2 3 4 3 6 2 2 1 4 4 5 4 5 2 6
## [85069] 2 4 6 4 4 4 3 3 3 1 3 5 4 4 5 5 5 5 5 3 1 2 3 4 5 4 2 4 5 4 6 3 4 6 2 6
## [85105] 4 2 6 6 2 2 5 6 5 5 6 3 4 6 5 4 3 2 2 5 3 4 2 3 4 3 6 5 3 6 4 3 3 3 6 5
## [85141] 4 2 1 2 1 3 4 4 4 5 4 4 2 4 5 6 3 5 4 3 5 2 6 1 5 4 4 3 5 3 4 4 4 4 4 6
## [85177] 4 2 5 3 5 5 5 3 4 1 4 5 4 5 5 4 2 3 6 4 6 3 6 6 4 5 4 5 3 4 5 1 4 3 3 5
## [85213] 2 2 4 4 4 5 4 4 4 3 4 4 2
##
## Within cluster sum of squares by cluster:
## [1] 21626.15 23980.61 40982.60 50693.81 37239.65 39642.50
## (between_SS / total_SS = 55.5 %)
##
## Available components:
##
## [1] "cluster" "centers" "totss" "withinss" "tot.withinss"
## [6] "betweenss" "size" "iter" "ifault"
aps_kmeans$centers
## team_engagement supervisor_engagement senior_manager_engagement
## 1 2.640490 2.424865 2.187897
## 2 4.765877 4.866621 4.694124
## 3 3.721532 3.679166 3.644746
## 4 4.239426 4.337638 4.150479
## 5 4.302095 4.387333 3.260078
## 6 3.714600 3.663225 2.711517
## agency_engagement team_performance_support risk_culture innovation
## 1 2.291688 2.353018 2.217561 2.217611
## 2 4.478537 4.501612 4.218034 4.470084
## 3 3.394258 3.296475 3.248259 3.285748
## 4 3.894431 3.904066 3.660701 3.823564
## 5 3.509834 3.817075 3.357196 3.556907
## 6 2.818057 3.051262 2.781723 2.845518
## leadership_engagement wellbeing values team_performance_rating_binary
## 1 2.022932 2.336593 3.083354 0.1142716
## 2 4.414291 4.352340 4.841597 0.8556307
## 3 3.402023 3.386478 4.055518 0.2589808
## 4 3.840951 3.903859 4.586855 0.6657689
## 5 2.878725 3.741713 4.378256 0.6758393
## 6 2.342758 3.060588 3.838758 0.2885988
aps_kmeans_centres <- as.data.frame(aps_kmeans$centers)
aps_kmeans_centres
## team_engagement supervisor_engagement senior_manager_engagement
## 1 2.640490 2.424865 2.187897
## 2 4.765877 4.866621 4.694124
## 3 3.721532 3.679166 3.644746
## 4 4.239426 4.337638 4.150479
## 5 4.302095 4.387333 3.260078
## 6 3.714600 3.663225 2.711517
## agency_engagement team_performance_support risk_culture innovation
## 1 2.291688 2.353018 2.217561 2.217611
## 2 4.478537 4.501612 4.218034 4.470084
## 3 3.394258 3.296475 3.248259 3.285748
## 4 3.894431 3.904066 3.660701 3.823564
## 5 3.509834 3.817075 3.357196 3.556907
## 6 2.818057 3.051262 2.781723 2.845518
## leadership_engagement wellbeing values team_performance_rating_binary
## 1 2.022932 2.336593 3.083354 0.1142716
## 2 4.414291 4.352340 4.841597 0.8556307
## 3 3.402023 3.386478 4.055518 0.2589808
## 4 3.840951 3.903859 4.586855 0.6657689
## 5 2.878725 3.741713 4.378256 0.6758393
## 6 2.342758 3.060588 3.838758 0.2885988
table(aps_with_scales_k2$team_performance_rating_binary,aps_kmeans$cluster)
##
## 1 2 3 4 5 6
## 0 3581 1814 12026 8811 4712 8174
## 1 462 10751 4203 17551 9824 3316
aps_kmeans_centres %>%
gather("Type", "Value",-team_performance_rating_binary) %>%
ggplot(aes(team_performance_rating_binary, Value, fill = Type)) +
geom_col(position = "dodge") +
theme_bw()+
facet_wrap(~team_performance_rating_binary,scales = "free_x")
